Who uses it and for what purpose? The role of digital literacy in ChatGPT adoption and utilisation
a Centre for Media Studies, Faculty of Social Sciences, Charles University in Prague, Prague, Czechia
b Department of Security Studies, Faculty of Social Sciences, Charles University in Prague, Prague, Czechia
c Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Košice, Slovakia
d University of Prešov, Faculty of Management and Business, Prešov, Slovakia
Read
19
Timeswas read the article
3
Total PDF
16
Total HTML
Share statistics
array:21 [ "pii" => "S2444569X24001410" "issn" => "2444569X" "doi" => "10.1016/j.jik.2024.100602" "estado" => "S250" "fechaPublicacion" => "2024-10-01" "aid" => "100602" "copyrightAnyo" => "2024" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "itemSiguiente" => array:17 [ "pii" => "S2444569X24001471" "issn" => "2444569X" "doi" => "10.1016/j.jik.2024.100608" "estado" => "S250" "fechaPublicacion" => "2024-10-01" "aid" => "100608" "copyright" => "The Author(s)" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:10 [ "idiomaDefecto" => true "titulo" => "Impact of history imprint on firm innovation strategies: The role of ownership type and information sharing" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0001" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2037 "Ancho" => 2867 "Tamanyo" => 164382 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0001" "detalle" => "Fig " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">The conceptual model.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Min Ju, Gerald Yong Gao" "autores" => array:2 [ 0 => array:2 [ "nombre" => "Min" "apellidos" => "Ju" ] 1 => array:2 [ "nombre" => "Gerald Yong" "apellidos" => "Gao" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2444569X24001471?idApp=UINPBA00004N" "url" => "/2444569X/0000000900000004/v29_202411040451/S2444569X24001471/v29_202411040451/en/main.assets" ] "itemAnterior" => array:17 [ "pii" => "S2444569X24001501" "issn" => "2444569X" "doi" => "10.1016/j.jik.2024.100611" "estado" => "S250" "fechaPublicacion" => "2024-10-01" "aid" => "100611" "copyright" => "The Authors" "documento" => "article" "crossmark" => 1 "subdocumento" => "fla" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:10 [ "idiomaDefecto" => true "titulo" => "The implications of blockchain for logistics operations and sustainability" "tienePdf" => "en" "tieneTextoCompleto" => "en" "tieneResumen" => "en" "contieneResumen" => array:1 [ "en" => true ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0003" "etiqueta" => "Fig. 3" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr3.jpeg" "Alto" => 2127 "Ancho" => 3250 "Tamanyo" => 300415 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0012" "detalle" => "Fig " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Smart-PLS-SEM model with results.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Javed Aslam, Kee-hung Lai, Yun Bae Kim, Horst Treiblmaier" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Javed" "apellidos" => "Aslam" ] 1 => array:2 [ "nombre" => "Kee-hung" "apellidos" => "Lai" ] 2 => array:2 [ "nombre" => "Yun Bae" "apellidos" => "Kim" ] 3 => array:2 [ "nombre" => "Horst" "apellidos" => "Treiblmaier" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2444569X24001501?idApp=UINPBA00004N" "url" => "/2444569X/0000000900000004/v29_202411040451/S2444569X24001501/v29_202411040451/en/main.assets" ] "en" => array:16 [ "idiomaDefecto" => true "titulo" => "Who uses it and for what purpose? The role of digital literacy in ChatGPT adoption and utilisation" "tieneTextoCompleto" => true "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Vaclav Moravec, Nik Hynek, Beata Gavurova, Martin Rigelsky" "autores" => array:4 [ 0 => array:4 [ "nombre" => "Vaclav" "apellidos" => "Moravec" "email" => array:1 [ 0 => "vaclav.moravec@fsv.cuni.cz" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0001" ] ] ] 1 => array:4 [ "nombre" => "Nik" "apellidos" => "Hynek" "email" => array:1 [ 0 => "hynek@fsv.cuni.cz" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0002" ] ] ] 2 => array:4 [ "nombre" => "Beata" "apellidos" => "Gavurova" "email" => array:1 [ 0 => "beata.gavurova@tuke.sk" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0003" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0001" ] ] ] 3 => array:4 [ "nombre" => "Martin" "apellidos" => "Rigelsky" "email" => array:1 [ 0 => "martin.rigelsky@unipo.sk" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0004" ] ] ] ] "afiliaciones" => array:4 [ 0 => array:3 [ "entidad" => "Centre for Media Studies, Faculty of Social Sciences, Charles University in Prague, Prague, Czechia" "etiqueta" => "a" "identificador" => "aff0001" ] 1 => array:3 [ "entidad" => "Department of Security Studies, Faculty of Social Sciences, Charles University in Prague, Prague, Czechia" "etiqueta" => "b" "identificador" => "aff0002" ] 2 => array:3 [ "entidad" => "Technical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Košice, Slovakia" "etiqueta" => "c" "identificador" => "aff0003" ] 3 => array:3 [ "entidad" => "University of Prešov, Faculty of Management and Business, Prešov, Slovakia" "etiqueta" => "d" "identificador" => "aff0004" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0001" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0001" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0004">Introduction</span><p id="para0001" class="elsevierStylePara elsevierViewall">Digital literacy (DL) encompasses a broad range of educational practices aimed at equipping users with the knowledge and skills required to effectively operate within digital societies. Some studies integrate media and information literacy within the scope of DL; however, defining the exact boundaries and intersections of these concepts requires further research (<a class="elsevierStyleCrossRef" href="#bib0123">Wuyckens, Landry & Fastrez, 2022</a>). Each literacy type has its own limitations. For example, media literacy often overlooks the specific characteristics of digital technology and its role in enabling new communication practices. In contrast, information literacy has been criticised for its lack of emphasis on developing a critical perspective, a strength typically associated with media literacy (<a class="elsevierStyleCrossRef" href="#bib0058">Leaning, 2019</a>). The evolution of digital skills is closely tied to emerging technologies, such as cloud computing, the Internet of Things (IoT), big data, AI, and robotics. Numerous studies have highlighted significant regional disparities in DL linked to differences in digital skills, access, usage, and self-perception (<a class="elsevierStyleCrossRef" href="#bib0030">Hamutoglu, Gemikonakli, De Raffaele & Gezgin, 2020</a>; <a class="elsevierStyleCrossRef" href="#bib0107">Tinmaz, Lee & Fanea-Ivanovici, 2022</a>). Although physical access to digital technologies is often cited as a factor in digital inequalities, the more pressing issue is the gap in digital skills (Van <a class="elsevierStyleCrossRef" href="#bib0019">Deursen & Van Dijk, 2010</a>).</p><p id="para0002" class="elsevierStylePara elsevierViewall">Expertise and scientific literature on DL present a wide array of definitions that incorporate various technical and nontechnical elements. This diversity complicates efforts to create unified comparison platforms and often results in definitional frameworks in which certain aspects are disproportionately emphasised, leading to biases and limitations in assessment systems, particularly across different population groups. DL concepts have evolved along with technological advancements, with each period giving rise to new frameworks. For example, <a class="elsevierStyleCrossRef" href="#bib0021">Eshet-Alkalai (2012)</a> identified six DL categories: photovisual, real-time, informational, branching, reproductive, and social-emotional thinking. In contrast, <a class="elsevierStyleCrossRef" href="#bib0034">Heitin (2016)</a> simplified DL into three clusters: searching for and consuming digital content, creating digital content, and communicating or sharing digital content. <a class="elsevierStyleCrossRef" href="#bib0106">Tinmaz, Lee and Fanea-Ivanovici (2022)</a> expand the scope of DL to include computer, media, cultural, and disciplinary literacy. Policy-making bodies such as the European Commission have also weighed in to develop a framework comprising five competence areas: information and data literacy, communication and collaboration, digital content creation, security, and problem-solving. The framework is currently being reviewed and updated. Critics have emerged alongside these developments; for instance, <a class="elsevierStyleCrossRef" href="#bib0119">Weninger (2023)</a> argues that the predominant focus on DL skills overlooks its broader implications, advocating for DL to be developed as a social practice.</p><p id="para0003" class="elsevierStylePara elsevierViewall">The development and introduction of new AI tools have introduced new demands on DL as well as digital skills and competencies. As AI tools are integrated into daily life, there is an increasing need for individuals to acquire digital skills (<a class="elsevierStyleCrossRef" href="#bib0111">Vasilescu, Serban, Dimian, Aceleanu & Picatoste, 2020</a>). The level of these skills is influenced not only by technological experience and adoption, but also by the underlying reasons for using these tools, which reveal user motivations and preferred trajectories for AI tool utilisation. Analysing these preferences can reveal a tool's potential for assessing DL and its capacity to enhance various DL components, such as information navigation, content creation, social interactions, and mobile device usage. Currently, no research has explored the links between the intention to use AI tools in specific fields and DL, as measured using the Internet Skills Scale (ISS) (<a class="elsevierStyleCrossRef" href="#bib0112">Van Deursen, Helsper & Eynon, 2016</a>). Our study focused on one of the latest AI tools, ChatGPT, a conversational AI model developed by OpenAI. Since the release of its latest version, GPT-4, in March 2023, this tool has garnered significant attention across various domains. The potential of ChatGPT to revolutionise communication and information sharing emphasises the pressing need to address digital inequality. Its existence highlights disparities in access to technology and DL (<a class="elsevierStyleCrossRef" href="#bib0048">Khan & Paliwal, 2023</a>).</p><p id="para0004" class="elsevierStylePara elsevierViewall">Investigating the relationship between DL, as measured by the ISS, and ChatGPT usage can help identify how DL influences the intention to use this tool for various purposes. This analysis provides insights into how different dimensions of DL contribute to the adoption of ChatGPT, thereby guiding the further development of DL in relation to specific AI tools. Understanding these connections is crucial for tailoring DL programs and ensuring that users are equipped with the necessary skills to effectively use advanced technologies, such as ChatGPT. This study was motivated by the need to explore and quantify the links between DL and the use of AI tools such as ChatGPT. Our primary goal was to identify the preferred trajectories for ChatGPT usage and uncover the potential for the further development of DL concepts. The lack of research on the relationship between AI tool usage intentions and various DL fields has hindered the progress of DL and formulation of effective educational, digital, and development policies.</p><p id="para0005" class="elsevierStylePara elsevierViewall">The remainder of this paper is structured as follows: Section 2 reviews existing maturity or readiness models in the relevant domain and outlines our research contributions. Section 3 describes our concepts of organizational maturity and the framework used to develop the Industry 4.0 Maturity Model. In Section 4, we present the resulting model and procedure for assessing the maturity. Section 5 discusses the preliminary findings of a case study conducted at a manufacturing company. Finally, Section 6 concludes the paper with the main findings, study limitations, and suggestions for future research.</p></span><span id="sec0002" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0005">Literature review</span><p id="para0006" class="elsevierStylePara elsevierViewall">DL has been explored in numerous studies, each examining it from different process-based, structural, and causal perspectives. To understand the connections among these perspectives, it is crucial to investigate the conceptual relationships of DL within a broader digital ecosystem. In line with our study's aim of quantifying the relationship between DL and specific fields of ChatGPT usage, we also examined the definitional and adoption potential of ChatGPT, along with the motivational factors driving its use. This comprehensive approach provides a deeper understanding of how DL interacts with emerging AI tools and strategies to enhance its application in diverse contexts.</p><span id="sec0003" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0006">Digital literacy and its conceptual connections</span><p id="para0007" class="elsevierStylePara elsevierViewall">The rapid pace of digital transformation has been significantly influenced by the development of DL (Gillter, 1997). Conceptually aligned with AI literacy, DL plays a transformative role in society, enhancing competencies across various sectors, such as education, banking, healthcare, trade, industry, and services, which are areas closely tied to quality of life (<a class="elsevierStyleCrossRef" href="#bib0065">Lingyan, Mawenge, Rani & Patil, 2021</a>). Digital interaction has become increasingly important in the context of DL (<a class="elsevierStyleCrossRef" href="#bib0089">Reddy, Sharma & Chaudhary, 2020</a>), and some scholars view it as an essential tool for navigating a digital society (<a class="elsevierStyleCrossRef" href="#bib0056">Koc & Barut, 2016</a>). The impact of the social environment on digital transformation processes has highlighted the importance of the emotional, social, and ethical aspects of DL (<a class="elsevierStyleCrossRef" href="#bib0056">Koc & Barut, 2016</a>; <a class="elsevierStyleCrossRef" href="#bib0059">Lee & Bae, 2023</a>). In addition to digital interaction, DL influences digital content consumption. Media literacy, viewed by some as an integral part of DL or its more advanced form, has developed significantly over the past decade (<a class="elsevierStyleCrossRef" href="#bib0084">Park, Kim & Park, 2021</a>). <a class="elsevierStyleCrossRef" href="#bib0056">Koc and Barut (2016)</a> categorised media literacy into four dimensions: functional consumption, critical consumption, functional assumptions, and critical prerequisites. They also emphasised the need for active production skills in new media literacy, including the creation and co-creation of digital artefacts. <a class="elsevierStyleCrossRef" href="#bib0061">Lee and Park (2024)</a> propose examining five ChatGPT literacy factors: technical ability, critical evaluation, communication abilities, creative application, and ethical competence, including physical and social factors (<a class="elsevierStyleCrossRef" href="#bib0057">Laupichler et al., 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0060">Lee, Bubeck & Petro, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0086">Park et al., 2023</a>).</p><p id="para0008" class="elsevierStylePara elsevierViewall">Scholars have linked the digital environment to the necessity of information literacy. For instance, <a class="elsevierStyleCrossRef" href="#bib0079">Nikitenko, Voronkova and Kaganov (2024)</a> emphasised the critical role of information literacy in survival in the digital world, advocating for intercultural, systemic, structural-functional, institutional, anthropological, and axiological approaches to enhance digital competencies. The preference for linking information literacy or DL to the digital environment depends on whether the focus is on the developmental, procedural, or structural aspects of the digital ecosystem. The evolution of DL is closely tied to the emergence of new AI tools, which in turn influence its trajectory and intensity. The development of ChatGPT, for instance, does not occur in isolation but in conjunction with other tools, generating synergistic effects within digitisation processes. While this synergy has the potential to benefit users, it also introduces risks (<a class="elsevierStyleCrossRef" href="#bib0048">Khan, 2023</a>), such as increasing opacity in processes where AI tools are applied. Zhao et al. (2024) highlighted that generative AI tools such as ChatGPT significantly impact educational processes, not only in writing but also in information acquisition and problem-solving. However, the current criticism of these tools mainly revolves around issues such as plagiarism, misinformation, and technological dependence (<a class="elsevierStyleCrossRef" href="#bib0002">Adeshola & Adepoju, 2023</a>). Thus, the risk analysis of AI tools is essential for developing defensive strategies tailored to each generative AI application. This requires a multidisciplinary approach and the sharing of experiences with each tool in specific applications. Ethical concerns are also a significant aspect of AI tool usage (<a class="elsevierStyleCrossRef" href="#bib0037">Hua, Jin & Jiang, 2024</a>), yet recent studies have shown that ethical issues are often poorly understood or inadequately addressed.</p><p id="para0009" class="elsevierStylePara elsevierViewall">Several scholars have employed the Unified Theory of Acceptance and Use of Technology (UTAUT) model to elucidate user behaviour regarding technology adoption (Chao, 2019). However, extensive socioeconomic, technological, and psychological research indicates that the adoption and utilisation of these tools are dynamic processes influenced by emerging factors such as perceived security, trust and privacy, perceived enjoyment, and system interactivity. These elements collectively form a complex framework for understanding user behaviour (<a class="elsevierStyleCrossRef" href="#bib0074">Menon & Shilpa, 2023</a>). Among these, perceived interactivity, which encompasses sensitivity, flexibility, and support for two-way communication between the user and the AI tool, is often highlighted as a dominant factor. In addition, attributes such as perceived human touch (<a class="elsevierStyleCrossRef" href="#bib0018">Della Longa, Valori & Farroni, 2022</a>; <a class="elsevierStyleCrossRef" href="#bib0116">Van Erp & Toet, 2015</a>), humour, and empathy are gaining prominence. Perceived human touch pertains to the social presence and emotional connection individuals experience during interactions, whether through touch, vocal cues, or eye contact (<a class="elsevierStyleCrossRef" href="#bib0073">McIntyre, Hauser & Kusztor, 2022</a>). The promptness of responses also plays a crucial role in the positive perception of AI tools because it enhances productivity. Currently, the demand for AI tools is driven more by the quality of answers than their quantity (<a class="elsevierStyleCrossRef" href="#bib0054">Kim, Kim, Kim & Park, 2023</a>). Concurrently, expectations for the accuracy, correctness, and relevance of information are increasing. In specialised fields, such as healthcare, there may be specific requirements for responses, such as brevity and precision.</p></span><span id="sec0004" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0007">Definition and potential for adoption of ChatGPT</span><p id="para0010" class="elsevierStylePara elsevierViewall">Numerous studies have demonstrated how ChatGPT enhances task performance, leading to the development of sector-specific adaptation frameworks for this tool (<a class="elsevierStyleCrossRef" href="#bib0075">Mogaji, Balakrishnan, Nwoba & Nguyen, 2021</a>). <a class="elsevierStyleCrossRef" href="#bib0074">Menon and Shilpa (2023)</a> applied the UTAUT model to identify key factors that influence ChatGPT adoption and use, noting that user interaction and engagement are shaped by perceived interactivity and privacy concerns. Additionally, age and experience can moderate the impact of these factors on ChatGPT usage and increase expectations and demand for the tool (<a class="elsevierStyleCrossRef" href="#bib0015">Camilleri, 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0042">Choudhury & Shamszare, 2024</a>). The effectiveness of the UTAUT model in conceptualising ChatGPT can be linked to perceptions of performance expectancy and usefulness (<a class="elsevierStyleCrossRef" href="#bib0118">Venkatesh, Morris, Davis & Davis, 2003</a>). Expected performance is associated with perceived usefulness, compatibility, the chatbot's impact on work performance, task completion, feelings of success, and increased engagement (<a class="elsevierStyleCrossRef" href="#bib0014">Brachten, Kissmer & Stieglitz, 2021</a>; <a class="elsevierStyleCrossRef" href="#bib0041">Christy et al., 2019</a>). According to <a class="elsevierStyleCrossRef" href="#bib0129">Yang and Wang (2023)</a>, perceived risk, trust, and demand satisfaction are the most critical factors for the public adoption of ChatGPT. Perceived risk and trust directly influence public acceptance, whereas factors such as supervision and accountability play a significant role in exerting a powerful driving force on overall acceptance.</p><p id="para0011" class="elsevierStylePara elsevierViewall">The expected length of the effort is a significant factor in ChatGPT adoption (Jain et al., 2024). Users anticipate that a new technology should be simple to adopt and use quickly, with perceived simplicity directly influencing their likelihood of adopting it (<a class="elsevierStyleCrossRef" href="#bib0108">Tiwari, Bhat, Khan, Subramaniam & Khan, 2024</a>). Research on the impact of expected effort on chatbot adoption has yielded contrasting results. While <a class="elsevierStyleCrossRef" href="#bib0035">Henkel, Linn and van der Goot (2022)</a> found a negative relationship between expected effort and intention to use chatbots, sector-specific analyses showed that expected effort plays a crucial role in chatbot adoption (<a class="elsevierStyleCrossRef" href="#bib0075">Mogaji et al., 2021</a>). If users perceive ChatGPT as easy to use, they are more likely to integrate it into their daily lives, potentially leading to its widespread adoption across various fields and an increase in the value of the technology. User perceptions of the usefulness and simplicity can also enhance the positive social impact of ChatGPTs. Social influences, ranging from family and friends to online opinions and expert recommendations, can further bolster users’ confidence in using ChatGPT effectively, reducing barriers to adoption and perceived risks (<a class="elsevierStyleCrossRef" href="#bib0074">Menon & Shilpa, 2023</a>).</p><p id="para0012" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#bib0125">Wulandari, Nurhaipah and Ohorella (2024)</a> found that social influence does not significantly affect the perceived simplicity of user experience. Negative social impacts such as concerns about the potential misuse of ChatGPT, ranging from harmful or biased content to the spread of disinformation and ethical issues, can increase reliability concerns and strengthen user resistance, thereby diminishing adoption potential (<a class="elsevierStyleCrossRef" href="#bib0102">Sudan, Hans & Taggar, 2024</a>). The social impact of ChatGPT needs to be explored both horizontally and vertically, as different population groups with varying experiences, attitudes toward technology, and levels of DL may exert diverse influences on different social groups. This complexity necessitates a more in-depth analysis to understand the broader social implications of using ChatGPT.</p></span><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0008">Motivational aspects of ChatGPT use</span><p id="para0013" class="elsevierStylePara elsevierViewall">The conditions supporting ChatGPT adaptation encompass both technical and organizational infrastructures. Combined with positive social impact and perceived usefulness, these factors can significantly accelerate ChatGPT adoption. However, technical issues or lack of access to the necessary technological resources can create aversion and resistance to change. Sociodemographic factors are closely linked to perceived difficulty and trust (<a class="elsevierStyleCrossRef" href="#bib0033">Hasija & Esper, 2022</a>). Research indicates that age and sex positively influence the perceived usefulness and user intention to adopt ChatGPT. For instance, older adults may find ChatGPT more challenging or less valuable, while those with prior technological experience may perceive it as more user-friendly and beneficial (<a class="elsevierStyleCrossRef" href="#bib0074">Menon & Shilpa, 2023</a>). Additionally, risk perception varies with experience and age categories (<a class="elsevierStyleCrossRef" href="#bib0110">Valtolina, Matamoros, Musiu, Epifania & Villa, 2022</a>). Overreliance on ChatGPT could lead to feelings of inferiority as users limit social interaction, potentially weakening critical thinking and problem-solving abilities in daily life (<a class="elsevierStyleCrossRef" href="#bib0097">Shanto, Ahmed & Jony, 2024</a>).</p><p id="para0014" class="elsevierStylePara elsevierViewall">Research has demonstrated a clear relationship between socio-demographic characteristics and the use of AI tools, with education and age being particularly influential in AI adoption. For example, <a class="elsevierStyleCrossRef" href="#bib0124">Wu and Shi (2024)</a> found that increasing DL among university students significantly shaped their perception of ChatGPT's usefulness and ease of use, thereby boosting their intention to use the tool. AI solutions enhance the efficiency and sustainability of blended learning systems, improve access to education, and foster inclusivity (<a class="elsevierStyleCrossRef" href="#bib0008">Alshahrani, 2023</a>). Moreover, ChatGPT can help alleviate loneliness, especially among the elderly, by fostering emotional connections, although it should complement rather than replace human interactions (Pani et al., 2024). Skjuve et al. (2024) identified six key motivations for using ChatGPT: productivity, novelty, creative work, learning and development, entertainment, and social interaction. These findings suggest that generative AI can satisfy various user needs, surpassing traditional conversational technologies. While some studies highlight ChatGPT's role in enhancing creativity and reducing costs (<a class="elsevierStyleCrossRef" href="#bib0101">Skjuve, Følstad, Fostervold & Brandtzaeg, 2022</a>), others, such as <a class="elsevierStyleCrossRef" href="#bib0099">Shidiq (2023)</a>, warn of its potential negative impact on creativity in education, particularly in student writing. Nonetheless, ChatGPT can still enhance learning experiences and promoted independence.</p><p id="para0015" class="elsevierStylePara elsevierViewall">Some users engage in ChatGPT for entertainment and social interaction (<a class="elsevierStyleCrossRef" href="#bib0027">Gorenz & Schwarz, 2024</a>; Thorp, 2023), while it can also serve as a valuable tool for disadvantaged groups. It assists individuals with autism in solving everyday problems by acting as a robust information-seeking tool (Choi et al., 2024). AI, including ChatGPT, plays a transformative role in enhancing decision-making even though it does not directly make decisions (<a class="elsevierStyleCrossRef" href="#bib0096">Sundar & Liao, 2023</a>). However, overreliance on ChatGPT can lead to excessive trust in its outcomes, potentially resulting in bias, misuse, reduced quality, or the spread of disinformation (<a class="elsevierStyleCrossRef" href="#bib0092">Sebastian & Sebastian, 2023</a>). The use of ChatGPT varies significantly in professional settings, depending on the individual user, and there remains a research gap concerning AI chatbots from an employee's perspective (<a class="elsevierStyleCrossRef" href="#bib0022">George & George, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0045">Iswahyudi, Nofirman, Wirayasa, Suharni & Soegiarto, 2023</a>). Methodologies, such as inductive taxonomies, can be employed to better understand user interactions with ChatGPT. <a class="elsevierStyleCrossRef" href="#bib0078">Nickerson, Varshney and Muntermann (2013)</a> identified four types of ChatGPT users: early quitters, progressives, pragmatics, and persistent users, categorizing user perceptions into tools and virtual personal assistants (<a class="elsevierStyleCrossRef" href="#bib0025">Gkinko & Elbanna, 2023</a>). Another framework by <a class="elsevierStyleCrossRef" href="#bib0016">Capello and Lenzi (2023)</a> distinguishes between technological enthusiasts, who see strong potential in new technologies, and technological pessimists, who fear catastrophic consequences, social disruption, and the loss of labour opportunities.</p><p id="para0016" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#bib0043">Ilieska (2024)</a> argues that generative AI tools, such as ChatGPT, pose a potential threat to human cognitive autonomy, flagging the need for renewed efforts to cultivate critical thinking. She cautions against the dangers of thoughtlessness in an age of rapid scientific progress, emphasising that thinking is a unique human capability that must be protected by fostering spaces for genuine reflection and engagement. <a class="elsevierStyleCrossRef" href="#bib0025">Gkinko and Elbanna (2023)</a> applied the technological framing theory to explore how disparities in employees' technological perspectives impact chatbot use. Their findings suggest that consensus within organizational technological frameworks promotes the adoption and effective use of technology, whereas disagreements can hinder technological integration and reduce efficiency. Several studies have explored the root causes of these disparities and have proposed solutions to address them (<a class="elsevierStyleCrossRef" href="#bib0051">Khalil, Dai, Zhang, Dilkina & Song, 2017</a>; <a class="elsevierStyleCrossRef" href="#bib0120">Wei et al., 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0128">Xie, Zhao, Deng & He, 2024</a>).</p><p id="para0017" class="elsevierStylePara elsevierViewall">ChatGPT is increasingly applied in sophisticated ways across various industries, from education to entertainment, and in research. Researchers are gradually focusing on the social and cultural impacts of ChatGPT use. One of the most challenging aspects of natural language processing is understanding the subtleties and complexities of human language, including humour, irony, and sarcasm (Reswan <a class="elsevierStyleCrossRef" href="#bib0090">Shihab, Sultana & Samad, 2023</a>). The limited capacity of ChatGPT to fully grasp and respond to these elements can lead to inappropriate or irrelevant answers. Another challenge to the broader adoption of ChatGPT lies in its resource requirements. The model requires significant computing power, and its initiation can be particularly constrained in resource-limited environments.</p><p id="para0018" class="elsevierStylePara elsevierViewall">Consequently, six research hypotheses were formulated to align with our study's objectives:</p><p id="para9001" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0001"><span class="elsevierStyleLabel">H1</span><p id="para0019" class="elsevierStylePara elsevierViewall">There is a significant relationship between the intention to use ChatGPT and DL, as measured by the Internet Skills Scale (ISS).</p></span></p><p id="para9002" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0002"><span class="elsevierStyleLabel">H2</span><p id="para0020" class="elsevierStylePara elsevierViewall">The intention to use ChatGPT to test its capabilities is significantly related to DL, as measured by the ISS.</p></span></p><p id="para9003" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0003"><span class="elsevierStyleLabel">H3</span><p id="para0021" class="elsevierStylePara elsevierViewall">The intention to use ChatGPT for entertainment purposes is significantly related to DL, as measured by the ISS.</p></span></p><p id="para9004" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0004"><span class="elsevierStyleLabel">H4</span><p id="para0022" class="elsevierStylePara elsevierViewall">The intention to use ChatGPT for educational or work purposes is significantly related to DL, as measured by the ISS.</p></span></p><p id="para9005" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0005"><span class="elsevierStyleLabel">H5</span><p id="para0023" class="elsevierStylePara elsevierViewall">The intention to use ChatGPT to gain new knowledge is significantly related to DL, as measured by the ISS.</p></span></p><p id="para9006" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleEnunciation" id="enun0006"><span class="elsevierStyleLabel">H6</span><p id="para0024" class="elsevierStylePara elsevierViewall">The intention to use ChatGPT as a companion during solitary time is significantly related to DL, as measured by the ISS.</p></span></p></span></span><span id="sec0006" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0009">Material and methods</span><p id="para0025" class="elsevierStylePara elsevierViewall">To address the research goal of examining and quantifying the relationship between DL and selected fields of AI as represented by ChatGPT, a comprehensive study design was developed with a solid methodological foundation.</p><p id="para0026" class="elsevierStylePara elsevierViewall">The research questions were formulated based on the latest findings and outcomes of this study. Given the extensive body of research on DL, we focused on tools that have been successfully applied in similar empirical studies, allowing us to assess their effectiveness and limitations. For our methodology, we selected the digital literacy evaluation tool used by <a class="elsevierStyleCrossRef" href="#bib0112">Van Deursen et al. (2016)</a>, which incorporates a validated set of Internet Skills Scale (ISS) items. This tool was chosen because of its robustness and applicability in similar research contexts to ensure the reliability of our findings.</p><p id="para0027" class="elsevierStylePara elsevierViewall">The study processed 35 items categorised into five distinct factors using the DL evaluation tool as follows (<a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a>):<ul class="elsevierStyleList" id="celist0001"><li class="elsevierStyleListItem" id="celistitem0001"><span class="elsevierStyleLabel">i.</span><p id="para0028" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Operational</span>: To what extent do you agree with the following statements regarding technology use?</p></li><li class="elsevierStyleListItem" id="celistitem0002"><span class="elsevierStyleLabel">ii.</span><p id="para0029" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Information Navigation</span>: To what extent do you agree with the following statements that focus on navigating and obtaining information on the Internet?</p></li><li class="elsevierStyleListItem" id="celistitem0003"><span class="elsevierStyleLabel">iii.</span><p id="para0030" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Social</span>: To what extent do you agree with the following statements that focus on the social aspect of the Internet?</p></li><li class="elsevierStyleListItem" id="celistitem0004"><span class="elsevierStyleLabel">iv.</span><p id="para0031" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Creative</span>: To what extent do you agree with the following statements that focus on creating content on the Internet?</p></li><li class="elsevierStyleListItem" id="celistitem0005"><span class="elsevierStyleLabel">v.</span><p id="para0032" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Mobile</span>: To what extent do you agree with the following statements that focus on the use of mobile devices?</p></li></ul></p><elsevierMultimedia ident="tbl0001"></elsevierMultimedia><p id="para0033" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0001">Table 1</a> presents the DL indicators, each evaluated on a scale from 0 to 10, where 0 indicates complete disagreement with the statement, and 10 signifies complete agreement. Respondents were required to answer all items, and no filtering was applied. Consequently, no missing values were observed in the dataset. The survey yielded 1025 responses and was conducted between 19 October 2023 and 1 November 2023. Data were collected using a ((computer-assisted self-interview) technique via the Ipsos online panel Populace.cz.</p><p id="para0035" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0002">Table 2</a> presents the frequency distributions of the samples across the selected identification variables. The data indicate that the sample was proportionally balanced, although there was a slight underrepresentation of students in the Family Lifecycle Segment category compared to the general population. This minor deviation was not expected to significantly affect the validity or reliability of the study outcomes.</p><elsevierMultimedia ident="tbl0002"></elsevierMultimedia><p id="para0036" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0003">Table 3</a> details the frequency of responses related to specific uses of AI, particularly ChatGPT. The ‘Yes’ category indicates respondents who utilized ChatGPT for the specified purpose, while the ‘No’ category reflects those who did not. The table includes only those respondents who answered affirmatively to the question, ‘Have you tried how ChatGPT works?’ - indicating prior experience with the AI tool. Out of the total sample, 219 respondents, or 21.37%, reported having used ChatGPT. This suggests that approximately one-fifth of the population in the sample has direct experience with ChatGPT.</p><elsevierMultimedia ident="tbl0003"></elsevierMultimedia><p id="para0037" class="elsevierStylePara elsevierViewall">In analytical processing, nonparametric difference tests and logistic regression models are primarily used. The Wilcoxon rank sum test (W) was applied to assess differences, providing information on the presence of significant differences. To further evaluate these differences, an elementary descriptive analysis was conducted using arithmetic means and standard deviations across the indicator categories. The reliability was assessed using Cronbach's alpha, with an acceptable reliability threshold of 0.7. After confirming the reliability, the individual DL variables were averaged to create five factors, which were then included in the logistic regression models. All analytical procedures were conducted using the R programming environment, version 4.3.2 Eye Holes (R Core Team, 2023).</p></span><span id="sec0007" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0010">Results</span><p id="para0038" class="elsevierStylePara elsevierViewall">The first subsection of the results focuses on evaluating DL factors. Relational analyses were conducted to assess the overall relationship between DL and ChatGPT. This was followed by a more detailed examination of the relationship between DL and ChatGPT use for specific purposes, as represented by the decomposed indicators (DI - DV). The reliability analysis supported the processing of aggregated indicators, yielding acceptable results (Cronbach's Alpha: DI = 0.96, DII = 0.899, DIII = 0.888, DIV = 0.921, and DV = 0.889). <a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a> presents the findings of the descriptive and relational analyses of the aggregated DL indicators. The main analytical procedures are conducted in chronological order and aligned with the individual research hypotheses. Logistic regression models well-suited to the characteristics of the dataset were primarily used in the analysis.</p><elsevierMultimedia ident="tbl0004"></elsevierMultimedia><p id="para0039" class="elsevierStylePara elsevierViewall">The results in <a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a> indicate that the highest level of DL was observed in the Operational indicator (D I), while the lowest was found in the creative indicator (DIV). The items under the Information Navigation indicator (DII) were negatively formulated, implying that a lower value corresponded to a higher DL level. In terms of variability, as measured by the coefficient of variation, the Social indicator (D III) showed the highest stability (CV = 27.57%), whereas the Information Navigation indicator (D II) showed the highest variability (CV = 62.57%). Relational analysis revealed that all the relationships between individual DL indicators were statistically significant at a level below 0.001. These relationships are relatively strong and could pose a risk of collinearity in the application of the multiple regression models. Simple binomial regression models are used to evaluate these relationships.</p><p id="para0041" class="elsevierStylePara elsevierViewall">The results presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 5</a> illustrate the relationships between the experience with the ChatGPT application and various DL indicators. The DL indicators (D) were measured on an ordinal scale ranging from 0 to 10 with 0 indicating complete disagreement and 10 indicating complete agreement with the corresponding statement. Experience with ChatGPT was assessed on a dichotomous scale, where the ‘NO’ category signifies that the respondent ‘did not try ChatGPT’,’ and the ‘YES’ category indicates that the respondent ‘tried ChatGPT’.’ These results help establish a connection between the levels of DL and the likelihood of having used ChatGPT, providing insights into how digital competencies influence the adoption and use of AI tools.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="para0042" class="elsevierStylePara elsevierViewall">The non-parametric Wilcoxon (W) test was applied to assess the differences in DLbetween respondents who did and did not use ChatGPT. The first column of <a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a> displays the outcomes of this test, with the statistically significant results highlighted in bold. Most results were significant, indicating meaningful differences between the two groups. The subsequent columns present the results of the descriptive analysis, which should be considered when the significance of the differences is confirmed. In the domain of digital technology use (D1), the analysis revealed that individuals who tried ChatGPT exhibited significantly higher DL levels than those who did not. This suggests that engaging with ChatGPT is associated with a greater proficiency in using digital technologies. Conversely, significant differences were observed in negative experiences related to navigation and information retrieval via digital technologies (D2). The data suggest that individuals who have not attempted ChatGPT report a higher level of negative experiences in navigating and searching for information, potentially indicating lower DL or confidence in these areas.</p><p id="para0043" class="elsevierStylePara elsevierViewall">Differences were also evident in the social domain (D3), in which respondents who tried ChatGPT demonstrated a higher level of responsibility than those who did not. In the realm of digital content creation (D4), the analysis of differences and descriptive statistics revealed that individuals who used ChatGPT had significantly greater knowledge of creating digital content than those who had not used the tool. Similar findings were observed for the final group of indicators related to the knowledge of mobile applications, with ChatGPT users exhibiting higher levels of expertise in this area. Overall, these results suggest that the respondents who interacted with ChatGPT exhibited a significantly higher level of DL across various domains, including social responsibility, digital content creation, and mobile application knowledge. This indicates that ChatGPT use is associated with enhanced digital skills and competencies.</p><p id="para0044" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0006">Table 6</a> presents the results of the binomial regression analysis assessing the relationship between the selected domains of DL and experience with the ChatGPT application. This analysis aims to identify whether specific aspects of DL significantly predict the likelihood of ChatGPT usage. The regression outcomes highlight the DL fields that are most strongly associated with the use of ChatGPTs.</p><elsevierMultimedia ident="tbl0006"></elsevierMultimedia><p id="para0046" class="elsevierStylePara elsevierViewall">The results confirm a significant relationship between DL and the likelihood of using ChatGPT. Examining the sign of the β coefficients and the odds ratio, it becomes evident that a higher DL level corresponds to an increased probability of ChatGPT usage. The highest likelihood was observed in the creative domain, where respondents with a higher DL level were 35% more likely to use ChatGPT than those with a lower DL level. In the Mobile domain (D V), the model indicated that respondents with higher DL levels were 24% more likely to use ChatGPT than those with lower DL levels. Interestingly, D II Information Navigation demonstrated a positive effect, indicating that respondents with better navigation and information search skills were more inclined to use ChatGPT than those lacking these skills.</p><p id="para0047" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0007">Table 7</a> presents an evaluation of the differences in the selected DL indicators (D) across various categories of ChatGPT usage for specific purposes. These categories include: (AI 1) Curiosity-driven usage (AI 2) Entertainment purposes, (AI 3) Work or school tasks (AI 4) Learning new information (AI 5) As companions during moments of solitude. This table compares these usage categories with the corresponding DL indicators (D).</p><elsevierMultimedia ident="tbl0007"></elsevierMultimedia><p id="para0048" class="elsevierStylePara elsevierViewall">The DL indicators were recorded on an ordinal scale from 0 to 10, where 0 represented absolute disagreement and 10 represented absolute agreement with a particular statement. The AI indicators were evaluated on a dichotomous scale, with 0 indicating ‘No, I did not use it this way’ and 1 indicating ‘Yes, I used it this way’.’ The nonparametric Wilcoxon (W) test was used to evaluate the differences in DL between the categories of experience with ChatGPT. Significant differences are highlighted in bold font. Notably, the most significant differences were observed for AI 1, AI 2, and AI 5. In contrast, the AI 3 and AI 4 indicators showed only a few statistically significant differences. When focusing on DL, the most notable differences in ChatGPT usage for the selected purposes were found in D1 (general use of digital technologies) and DIII (social aspects of digital technology use). <a class="elsevierStyleCrossRef" href="#tbl0007">Table 7</a> summarises these findings.</p><p id="para0050" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0008">Table 8</a> presents the average values of the selected DL fields (D) within the AI 5 categories (NO - No, I did not use it this way; YES - Yes, I used it this way). The interpretations focused only on indicators that were considered significantly different (<a class="elsevierStyleCrossRef" href="#tbl0004">Table 4</a>). In the field of digital technology use (D 1), significant differences were observed in categories AI 1, AI 2, and AI 5 categories. For AI 1 and AI 2, higher average DL values were noted in Category 1, indicating that respondents who used ChatGPT to test its capabilities and for fun (entertainment) had a higher DL rate. Conversely, in AI 5, where the respondents used ChatGPT as a companion during moments of solitude, a lower DL rate was evident. Similar differences were found in the social field (D III), where respondents who used ChatGPT to test its possibilities (AI 1) and for fun (entertainment) (AI 2) exhibited higher DL rates. By contrast, those who used ChatGPT as a companion during moments of solitude (AI = 5) demonstrated a lower DL rate. These results confirmed that ChatGPT usage varied across different DL levels.</p><elsevierMultimedia ident="tbl0008"></elsevierMultimedia><p id="para0052" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0009">Table 9</a> presents the evaluation of the significance of the relationship between ChatGPT usage for testing purposes and DL. The outcomes of the binomial regression models indicate that all relationships except for the D IV Creative field are statistically significant. Based on the β coefficient and the odds ratio, respondents with a higher DL rate are more likely to use ChatGPT for testing purposes than those with a lower DL rate. The strongest tendency to use ChatGPT for testing was observed in the social domain (D III). Respondents with higher DL in this area were 25% more likely to test ChatGPT than those with lower literacy in this field. It is important to note the negative formulation of the D II Information Navigation items, where a lower value signifies a higher DL rate. This suggests that a greater intention to try ChatGPT is associated with better skills in navigating and searching for information. <a class="elsevierStyleCrossRef" href="#tbl0010">Table 10</a> presents the outcomes of the evaluation of the relationships between ChatGPT use for entertainment purposes and the DL rate.</p><elsevierMultimedia ident="tbl0009"></elsevierMultimedia><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="para0054" class="elsevierStylePara elsevierViewall">The outcomes in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 10</a> indicate that most relationships across the various DL fields are statistically significant, with the exception of the D IV Creative field. These significant relationships suggest that a higher DL rate is correlated with a greater likelihood of using ChatGPT for entertainment. The strongest correlation was observed in the D III Social field, where respondents with higher DL were 25% more likely to use ChatGPT for entertainment than those with lower DL. Another area of investigation was the use of ChatGPT in the work and educational contexts, as shown in <a class="elsevierStyleCrossRef" href="#tbl0011">Table 11</a>.</p><elsevierMultimedia ident="tbl0011"></elsevierMultimedia><p id="para0056" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0011">Table 11</a> indicates that there is no statistically significant relationship between the intention to use or not use ChatGPT for school or work tasks and DL. This suggests that the DL level does not influence whether respondents are more or less likely to use ChatGPT to complete school or work-related tasks. Therefore, it cannot be confirmed whether individuals with higher DL levels are either more or less inclined to use ChatGPT for specific purposes.</p><p id="para0057" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0012">Table 12</a> presents the relationship between DL and the use of ChatGPT to obtain new information.</p><elsevierMultimedia ident="tbl0012"></elsevierMultimedia><p id="para0059" class="elsevierStylePara elsevierViewall">The analysis in <a class="elsevierStyleCrossRef" href="#tbl0012">Table 12</a> reveals that the only significant field related to the use of ChatGPT to obtain new information is the D IV Creative field. The positive regression coefficient and odds ratio greater than 1 indicate that individuals with higher DL in the creative field are 1.15 times more likely to use ChatGPT to acquire new information than those with lower literacy in this domain. This finding suggests that creativity-related digital skills enhance the likelihood of leveraging ChatGPT as an information-gathering tool.</p><p id="para0060" class="elsevierStylePara elsevierViewall">As presented in <a class="elsevierStyleCrossRef" href="#tbl0013">Table 13</a>, the final section of the analysis aimed to evaluate the relationship between DL and the use or non-use of ChatGPT as a companion during moments of solitude.</p><elsevierMultimedia ident="tbl0013"></elsevierMultimedia><p id="para0062" class="elsevierStylePara elsevierViewall">If we examine the statistical significance of the relationships presented in <a class="elsevierStyleCrossRef" href="#tbl0013">Table 13</a>, it becomes evident that the only relationship deemed significant is D IV Creative. The regression coefficients were negative for all statistically significant indicators and the odds ratios were below 1. This suggests that respondents with lower levels of DL in the D I Operational, D III Social, D IV Creative, and D V Mobile fields were more likely to use ChatGPT as a companion during moments of solitude. Similar findings were observed for D II Information Navigation, where the negative formulation of survey items indicated that a higher level of navigation literacy was associated with a decreased likelihood of using ChatGPT as a companion.</p></span><span id="sec0008" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0011">Discussion</span><p id="para0063" class="elsevierStylePara elsevierViewall">This study primarily focuses on two key areas: Internet-related DL and ChatGPT usage. DL was assessed using the ISS, and ChatGPT use was measured with dichotomous scale items. The initial findings revealed that the highest DL levels were observed in D I Operational, with the lowest scores in D IV Creative. Regarding ChatGPT usage, 21.37% of the respondents reported experience with the application. The most common reason for using ChatGPT was to ‘Just to try it out’ (80.4%), while the least common was using it ‘As a companion in moments of solitude’ (19.2%). These results indicate that the social benefits of ChatGPT remain underexplored. This notion is supported by a recent study by <a class="elsevierStyleCrossRef" href="#bib0004">Alzyoudi and Mazroui (2024)</a> that highlights the complexity of the social support provided by ChatGPT. They identified key capabilities, such as context awareness, emotion recognition, generative abilities, adaptability, multimodal understanding, and continuous learning, as factors that enhance social support. Other studies have also recognised these aspects (<a class="elsevierStyleCrossRef" href="#bib0001">Abdullah, Madain & Jararweh, 2022</a>; <a class="elsevierStyleCrossRef" href="#bib0095">Smith et al., 2023</a>). Positive social influence can increase the perceived usefulness and ease of ChatGPT, boosting user confidence and reducing barriers to adoption (<a class="elsevierStyleCrossRef" href="#bib0074">Menon & Shilpa, 2023</a>). From the perspective of the relationship between DL and ChatGPT, the research was divided into six research hypotheses. Their evaluations yielded interesting results.</p><p id="para0064" class="elsevierStylePara elsevierViewall">For H1 (‘There is a significant relationship between the intention to use ChatGPT and DL, as measured by the Internet Skills Scale (ISS)’), the study focused on general ChatGPT use and found that respondents with higher DL levels were more likely to use ChatGPT. Digital skills tend to remain relatively stable over time, as noted by <a class="elsevierStyleCrossRef" href="#bib0047">Kappeler (2024)</a>, who linked DL to optimistic attitudes toward cybernetics in 2023. The importance of digital skills continues to grow, with researchers such as <a class="elsevierStyleCrossRef" href="#bib0023">Gillespie (2024)</a> and <a class="elsevierStyleCrossRef" href="#bib0113">Van Laar, Van Deursen, Van Dijk and De Haan (2020a</a>, <a class="elsevierStyleCrossRef" href="#bib0114">b</a>) suggesting a recursive relationship between digital skills, cybernetic optimism, Internet use, and a sense of inclusion in the information society. Higher socioeconomic backgrounds often facilitate the development of advanced digital skills, leading to more sophisticated use and further skill enhancement. However, experts emphasise the need to consider digital skills in the context of social and digital inequalities (<a class="elsevierStyleCrossRef" href="#bib0040">Chen and Li, 2022</a>). The expansion of the Internet alone will not eliminate these inequalities; in fact, it may exacerbate them (<a class="elsevierStyleCrossRef" href="#bib0094">Schradie, 2020</a>). As <a class="elsevierStyleCrossRef" href="#bib0028">Gruber and Hargittai (2023)</a> argue, as digital tools become more integral to daily life, the ability to use them effectively becomes essential. Those lacking the necessary digital skills increasingly face disadvantages in various aspects of life, including leisure, health, and finance, where they may pay higher prices or miss opportunities.</p><p id="para0065" class="elsevierStylePara elsevierViewall">For H2 (‘The intention to use ChatGPT to test its capabilities is significantly related to DL, as measured by the ISS’) and H3 (‘The intention to use ChatGPT for entertainment purposes is significantly related to DL, as measured by the ISS’), the outcomes were similar. In addition to content creation, the results indicate that respondents with higher DL levels are more likely to use ChatGPT to test both its capabilities and entertainment. Specifically, ChatGPT use for these purposes is more prevalent among those with advanced skills in general Internet use, Internet navigation, social aspects, and mobile device use. This aligns with the findings of <a class="elsevierStyleCrossRef" href="#bib0080">Nikghalb and Cheng (2024)</a>, who noted that over half of the user interactions with ChatGPT revolve around playful engagements, which are multifaceted and contribute positively to the development of AI tools. The use of ChatGPT to explore its capabilities and entertainment requires a certain DL level, as confirmed by our research findings. <a class="elsevierStyleCrossRef" href="#bib0031">Hargittai, Gruber, Djukaric, Fuchs and Brombach (2020)</a> suggested that as digital skills continue to improve, Internet users face new challenges, further uncovering the capabilities of ChatGPT and raising expectations for AI tools.</p><p id="para0066" class="elsevierStylePara elsevierViewall">Hypothesis 4 focused on investigating the relationship between the intention to use ChatGPT for educational or work purposes and DL, as measured by ISS (H4: ‘The intention to use ChatGPT for educational or work purposes is significantly related to DL, as measured by ISS’). In this field, no significant relationship with the DL was found. Although the use of ChatGPT for educational and work purposes is frequently mentioned in the literature, the DL construct has not been investigated separately (<a class="elsevierStyleCrossRef" href="#bib0091">Rice, Crouse, Winter & Rice, 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0098">Sharma & Yadav, 2022</a>). However, DL significantly impacts ChatGPT adoption, long-term use, and the enhancement of digital skills (<a class="elsevierStyleCrossRef" href="#bib0012">Bejaković & Mrnjavac, 2020</a>; <a class="elsevierStyleCrossRef" href="#bib0020">Erwin & Mohammed, 2022</a>). These processes can be explained conceptually using the UTAUT model. <a class="elsevierStyleCrossRef" href="#bib0071">Masoomi et al. (2024)</a> used a modified UTAUT model to explore the significant predictors of student ChatGPT adoption, incorporating constructs such as digital skills, human-ChatGPT interaction, performance expectancy, effort expectancy, social influences, and behavioural intention. Both the traditional and modified versions of the UTAUT model emphasise the synergy of various constructs for ChatGPT adoption, not just DL and digital skills (<a class="elsevierStyleCrossRef" href="#bib0053">Kim, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0074">Menon & Shilpa, 2023</a>).</p><p id="para0067" class="elsevierStylePara elsevierViewall">By contrast, <a class="elsevierStyleCrossRef" href="#bib0007">Ali, Murray, Momin and Al-Anzi (2023)</a> took a more sceptical view, noting that while ChatGPT may exponentially increase user knowledge, the quality of the information generated does not necessarily lead to a deep understanding of complex systems. For work-related purposes, ChatGPT use is extensive and influenced by job structure and content, requiring a corresponding DL level that is often acquired through training (<a class="elsevierStyleCrossRef" href="#bib0046">Javaid, Haleem, & Singh, 2022</a>; <a class="elsevierStyleCrossRef" href="#bib0126">Zarifhonarvar, 2024</a>). From a consumer perspective, ChatGPT offers benefits such as enhanced engagement, personalised experiences, and cost efficiency; however, these are balanced against concerns over consumer welfare, bias, disinformation, privacy, and ethics (<a class="elsevierStyleCrossRef" href="#bib0003">Alghizzawi, 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0009">Arman & Lamiyar, 2023</a>).</p><p id="para0068" class="elsevierStylePara elsevierViewall">For H5 (‘The intention to use ChatGPT to gain new knowledge is significantly related to DL, as measured by the ISS’), the analysis found that the relationship between ChatGPT use for acquiring new knowledge was significant only in the domain of content creation. This suggests that respondents with higher DL levels in content creation were more likely to use ChatGPT for educational purposes. The importance of DL in ChatGPT for content creation was supported by <a class="elsevierStyleCrossRef" href="#bib0038">Huang, Coleman, Gachago and Van Belle (2023)</a>; <a class="elsevierStyleCrossRef" href="#bib0121">Whalen and Mouza (2023)</a>, and <a class="elsevierStyleCrossRef" href="#bib0066">Lund, Agbaji and Teel (2023)</a>. Madunić et al. (2024) also highlight that strategic and well-planned use of ChatGPT in content creation can lead to substantial time and cost efficiencies.</p><p id="para0069" class="elsevierStylePara elsevierViewall">The findings from H6 (‘The intention to use ChatGPT as a companion during solitary time is significantly related to DL, as measured by the ISS’) stand out as particularly intriguing. Content creation is the only DL field that does not exhibit a significant relationship in this context. For other DL domains such as general Internet use, Internet navigation, social aspects, and mobile device use, the results suggest that respondents with lower DL levels are more likely to use ChatGPT for companionship during moments of solitude. This trend is particularly relevant for older adults who tend to have lower DL levels and may seek social support through digital means. This is consistent with the findings of <a class="elsevierStyleCrossRef" href="#bib0081">Oh et al. (2021)</a>, <a class="elsevierStyleCrossRef" href="#bib0100">Schreurs, Quan-Haase and Martin (2017)</a>, and <a class="elsevierStyleCrossRef" href="#bib0131">Zapletal, Wells, Russell and Skinner (2023)</a> who noted the importance of social support tools for older adults experiencing social isolation. <a class="elsevierStyleCrossRef" href="#bib0004">Alzyoudi and Mazroui (2024)</a> further confirmed this trend among respondents aged over 50 who used ChatGPT for social support during periods of solitude, regardless of age, gender, education, or employment status.</p><p id="para0070" class="elsevierStylePara elsevierViewall">The study's outcomes revealed variability within DL dimensions and their influence on ChatGPT usage across different contexts, including testing purposes, entertainment, and moments of solitude (<a class="elsevierStyleCrossRef" href="#bib0006">Al Lily, Ismail, Abunaser, Al-Lami & Abdullatif, 2023</a>). These patterns align with specific age categories, each displaying varying DL levels (<a class="elsevierStyleCrossRef" href="#bib0122">Wolf & Maier, 2024</a>). Technological advancements are likely to drive an increase in DL, driven by user experience, frequent Internet use, AI tools, and socialisation effects (<a class="elsevierStyleCrossRef" href="#bib0077">Morgan, Sibson & Jackson, 2022</a>). This suggests that future AI tool usage, even in isolation, may not necessarily correlate with low DL levels, especially as DL among older populations is expected to increase (<a class="elsevierStyleCrossRef" href="#bib0070">Martínez-Alcalá et al., 2021</a>; <a class="elsevierStyleCrossRef" href="#bib0130">Yoo, 2021</a>). Ethical considerations and perceived risks also played a role in this evolution (Kong et al., 2023; <a class="elsevierStyleCrossRef" href="#bib0088">Ray, 2023</a>). Future research should explore how different ChatGPT usage intentions affect DL requirements across specific fields, considering the UX and technologies within distinct demographic groups (<a class="elsevierStyleCrossRef" href="#bib0036">Hosseini, Gao, Liebovitz & Carvalho, 2023</a>). In addition, it is crucial to examine which dominant DL elements influence ChatGPT adoption and comprehensive AI tool use.</p><p id="para0071" class="elsevierStylePara elsevierViewall">These findings are crucial for advancing DL systems that reflect the varying sensitivities in DL related to the different Internet skills needed to control and use AI tools (<a class="elsevierStyleCrossRef" href="#bib0050">Kozyreva, Lewandowsky & Hertwig, 2020</a>; <a class="elsevierStyleCrossRef" href="#bib0115">Van Laar, Van Deursen, Van Dijk & De Haan, 2017</a>). The rapid adoption of AI tools is linked to the pace of acquiring Internet skills, which, in turn, enhances DL.</p><p id="para0072" class="elsevierStylePara elsevierViewall">This study offers numerous practical benefits for educators and policymakers interested in integrating AI technologies into educational systems and promoting DL. ChatGPT enables institutions to create more personalised, motivating, and effective learning solutions. The advantages of personalised education are already being monitored, forming part of evolving educational systems (<a class="elsevierStyleCrossRef" href="#bib0087">Rakap, 2024</a>). According to the World Economic Forum (2018), AI chatbots offer more than just new methods of acquiring knowledge and 24-hour accessibility; they also reduce teacher workloads and facilitate personalised teaching and mentoring (<a class="elsevierStyleCrossRef" href="#bib0039">Hyatt, 2018</a>). Some studies have highlighted the transformative impact of ChatGPT on educational environments, potentially reshaping traditional systems (Pham et al., 2023). This highlights the need to educate both teachers and students about ChatGPT's capabilities and limitations (<a class="elsevierStyleCrossRef" href="#bib0011">Baidoo-Anu & Ansah, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0024">Gill, Xu & Patros, 2024</a>).</p><p id="para0073" class="elsevierStylePara elsevierViewall">Collaboration among policymakers, educators, researchers, and technological experts is essential for safely and constructively integrating generative AI tools, enhancing educational systems, and boosting DL. <a class="elsevierStyleCrossRef" href="#bib0109">Tran and Tran (2023)</a> emphasised the importance of fostering critical DL, which equips students to effectively navigate and engage in the online world. Critical DL includes the ability to analyse and critically evaluate digital information, understand the sociocultural impact of digital technologies, and engage responsibly online (<a class="elsevierStyleCrossRef" href="#bib0049">Knight, Dooly & Barberà, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0082">Pangrazio & Selwyn, 2019</a>). Incorporating critical DL into education can strengthen students' ability to assess the credibility, reliability, and bias of digital content and news sources.</p><p id="para0074" class="elsevierStylePara elsevierViewall">This skill set enables students to address complex digital environments, engage ethically and responsibly, and make informed decisions (<a class="elsevierStyleCrossRef" href="#bib0082">Pangrazio & Selwyn, 2019</a>). Developing these abilities can also enhance media literacy, as demonstrated in several studies (<a class="elsevierStyleCrossRef" href="#bib0058">Leaning, 2019</a>; <a class="elsevierStyleCrossRef" href="#bib0068">Manca, Bocconi & Gleason, 2021</a>). Additionally, it would protect students from disinformation, a topic that has thus far been underrepresented in education. Further research is required to fully understand ChatGPT's impact on critical DL and the development of ethical educational practices in the digital age (<a class="elsevierStyleCrossRef" href="#bib0010">Bacalja, Aguilera & Castrillón-Ángel, 2021</a>; <a class="elsevierStyleCrossRef" href="#bib0104">Talib, 2018</a>; <a class="elsevierStyleCrossRef" href="#bib0117">Watt, 2019</a>).</p><p id="para0075" class="elsevierStylePara elsevierViewall">Our study did not delve into ChatGPT use within specific population groups, such as individuals with disabilities, which presents an area for future research. Although ChatGPT was not explicitly designed for healthcare, it provides answers to a wide range of questions, including health-related enquiries (<a class="elsevierStyleCrossRef" href="#bib0026">Goodman, Patrinely & Stone, 2023</a>). This makes it a readily accessible resource for seeking health information and advice, which is particularly important for individuals with chronic illnesses (<a class="elsevierStyleCrossRef" href="#bib0069">Madrigal & Escoffery, 2019</a>). Studies have shown that AI tools assist people with multiple sclerosis (<a class="elsevierStyleCrossRef" href="#bib0067">Maida, Moccia & Palladino, 2024</a>), provide mental health psychoeducation (<a class="elsevierStyleCrossRef" href="#bib0072">Maurya, Montesinos, Bogomaz & DeDiego, 2023</a>), and support individuals with dementia and other cognitive challenges (<a class="elsevierStyleCrossRef" href="#bib0032">Hristidis, Ruggiano, Brown, Ganta & Stewart, 2023</a>). ChatGPT also shows promise in addressing social isolation, a concern that has intensified post-pandemic (<a class="elsevierStyleCrossRef" href="#bib0004">Alzyoudi & Mazroui, 2024</a>).</p><p id="para0076" class="elsevierStylePara elsevierViewall">Future research should focus on the DL of diverse population groups and the factors influencing AI tool adoption, particularly ChatGPT. Developing tools to evaluate various digital skills related to daily internet use, socio-economic influences, and cybernetic optimism is essential (<a class="elsevierStyleCrossRef" href="#bib0047">Kappeler, 2024</a>). DL must evolve dynamically to impact the adoption and use of AI tools effectively. By expanding DL's scope and impact, we can reduce digital inequality and leverage technological development to enhance all aspects of work and personal life, ultimately boosting national digital competitiveness.</p><span id="sec0009" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0012">Strengths and limitations of the study</span><p id="para0077" class="elsevierStylePara elsevierViewall">The primary strength of this study lies in its pioneering investigation of the relationship between DL and the use of generative AI tools like ChatGPT, which is anticipated to become a critical digital skill in the future. Additional strengths include the research sample's size and structure. However, the study also has some limitations. The first is the timing of the research and data collection. Given the rapid advancements in AI technologies like ChatGPT, the findings may become outdated quickly. Our research captures the early stages of ChatGPT adoption in the Czech Republic. As its popularity grows rapidly, long-term trends are difficult to forecast. Conducted one year after ChatGPT's launch, the study reflects the observation that media technologies often take decades to fully integrate into society, allowing for the assessment of their broader socio-economic and political impacts (<a class="elsevierStyleCrossRef" href="#bib0013">Biagi, 2011</a>). Thus, this study's value lies in its documentation of initial trends during the early adoption phase of generative AI.</p><p id="para0078" class="elsevierStylePara elsevierViewall">A second limitation relates to the socio-cultural context of the respondents. The Czech Republic has relatively high levels of digital literacy, which may have influenced the findings (<a class="elsevierStyleCrossRef" href="#bib0076">Moravec, Hynek, Gavurova & Kubak, 2024</a>). In countries with different socio-cultural settings or lower digital literacy levels, results might vary, likely depending on technological adaptation (<a class="elsevierStyleCrossRef" href="#bib0083">Pangrazio, Godhe & Ledesma, 2020</a>; <a class="elsevierStyleCrossRef" href="#bib0103">Sun, Liu & Lu, 2023</a>; <a class="elsevierStyleCrossRef" href="#bib0105">Thatcher, 2009</a>). These considerations demonstrate the significant role generative AI plays in shaping the development of digital literacy. The study's results stress the need for ongoing research into DL development and adaptation to emerging skills, such as prompt engineering - crafting precise, structured inputs to enhance AI responses. Recent studies indicate that greater proficiency in prompt engineering correlates with the quality of outputs from large language models (<a class="elsevierStyleCrossRef" href="#bib0055">Knoth, Tolzin, Janson & Leimeister, 2024</a>; <a class="elsevierStyleCrossRef" href="#bib0063">Lee, Jung & Jeon, 2024</a>).</p><p id="para0079" class="elsevierStylePara elsevierViewall">A key challenge for future research will be to track these trends through longitudinal studies to better understand how they evolve over time.</p></span></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0013">Conclusion</span><p id="para0080" class="elsevierStylePara elsevierViewall">The main objective of this study was to explore and quantify the relationships between DL and selected fields of AI use, specifically ChatGPT, to identify patterns of ChatGPT usage and uncover the development potential of DL concepts. Conducted on a sample of the Czech population, the study employed non-parametric difference tests, relational analyses, and binomial logistic regression models to evaluate the connections between DL and ChatGPT usage. The findings confirmed that a higher DL rate is associated with a greater likelihood of using ChatGPT, particularly for testing its capabilities and for entertainment, while a lower DL rate correlates with using ChatGPT as a companion in moments of solitude.</p><p id="para0081" class="elsevierStylePara elsevierViewall">These results will support the development of DL systems in relation to emerging AI tools, considering adoption rates as well as socio-economic and technical potentials, beyond just socio-demographic characteristics. It is anticipated that socio-demographic factors will play a diminishing role in AI tool adoption as DL claims and rates evolve across different population groups.</p><p id="para0082" class="elsevierStylePara elsevierViewall">The study's findings are valuable for AI regulators, digitalization experts, policymakers, and AI developers. They also highlight the urgent need to address the impact of DL on digital inequality, which may worsen with the continued advancement of AI tools. As numerous studies suggest, the full potential of advanced technologies can only be realized if they are accessible to all individuals, regardless of socioeconomic background, gender, bias, or geographic location. Therefore, addressing digital inequality, DL, and inclusive practices has become increasingly critical.</p></span><span id="sec0012" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0015">Data availability</span><p id="para0087" class="elsevierStylePara elsevierViewall">Data will be made available on request.</p></span><span id="sec0013" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016">Ethical approval</span><p id="para0088" class="elsevierStylePara elsevierViewall">All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.</p></span><span id="sec0013a" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="cesectitle0016a">CRediT authorship contribution statement</span><p id="para0088a" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleBold">Vaclav Moravec:</span> Writing – review & editing, Writing – original draft, Validation, Supervision, Investigation, Conceptualization. <span class="elsevierStyleBold">Nik Hynek:</span> Writing – review & editing, Writing – original draft, Resources, Methodology, Data curation. <span class="elsevierStyleBold">Beata Gavurova:</span> Writing – review & editing, Writing – original draft, Validation, Project administration, Methodology, Funding acquisition, Formal analysis, Data curation. <span class="elsevierStyleBold">Martin Rigelsky:</span> Writing – review & editing, Visualization, Software, Formal analysis.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:3 [ "identificador" => "xres2291693" "titulo" => "Abstract" "secciones" => array:1 [ 0 => array:1 [ "identificador" => "abss0001" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec1904148" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xpalclavsec1904147" "titulo" => "JEL code" ] 3 => array:2 [ "identificador" => "sec0001" "titulo" => "Introduction" ] 4 => array:3 [ "identificador" => "sec0002" "titulo" => "Literature review" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0003" "titulo" => "Digital literacy and its conceptual connections" ] 1 => array:2 [ "identificador" => "sec0004" "titulo" => "Definition and potential for adoption of ChatGPT" ] 2 => array:2 [ "identificador" => "sec0005" "titulo" => "Motivational aspects of ChatGPT use" ] ] ] 5 => array:2 [ "identificador" => "sec0006" "titulo" => "Material and methods" ] 6 => array:2 [ "identificador" => "sec0007" "titulo" => "Results" ] 7 => array:3 [ "identificador" => "sec0008" "titulo" => "Discussion" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0009" "titulo" => "Strengths and limitations of the study" ] ] ] 8 => array:2 [ "identificador" => "sec0010" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0012" "titulo" => "Data availability" ] 10 => array:2 [ "identificador" => "sec0013" "titulo" => "Ethical approval" ] 11 => array:2 [ "identificador" => "sec0013a" "titulo" => "CRediT authorship contribution statement" ] 12 => array:2 [ "identificador" => "xack786527" "titulo" => "Acknowledgements" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2024-08-22" "fechaAceptado" => "2024-10-15" "PalabrasClave" => array:1 [ "en" => array:2 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec1904148" "palabras" => array:6 [ 0 => "Digital literacy" 1 => "ChatGPT" 2 => "Internet skills scale (ISS)" 3 => "AI adoption and competency" 4 => "Human-machine nexus" 5 => "Industry 4.0 and organizational maturity model" ] ] 1 => array:4 [ "clase" => "jel" "titulo" => "JEL code" "identificador" => "xpalclavsec1904147" "palabras" => array:3 [ 0 => "M10" 1 => "O31" 2 => "O39" ] ] ] ] "tieneResumen" => true "resumen" => array:1 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<span id="abss0001" class="elsevierStyleSection elsevierViewall"><p id="spara023" class="elsevierStyleSimplePara elsevierViewall">This article investigates the critical role of Digital Literacy (DL) in shaping the adoption and use of ChatGPT. As advanced AI tools rapidly integrate into daily life, it is essential for both policymakers and technology developers to understand the factors driving their mainstream adoption. DL was quantified using the Internet Skills Scale (ISS) tool, applied on a scale of 0 to 10 across six areas of ChatGPT application: general use, testing possibilities, entertainment, fulfilling work and school tasks, obtaining new knowledge, and companionship during moments of solitude. The study employs non-parametric difference tests, relational analyses, and binomial logistic regression models, analysing data from a statistically representative sample (<span class="elsevierStyleItalic">N</span> = 1,025) of the Czech population. The findings reveal significant relationships between DL and five of the six areas. Higher DL levels correlate with using ChatGPT for testing, entertainment, and acquiring new knowledge. Conversely, lower DL levels are linked to using ChatGPT as a companion during moments of solitude. Notably, no significant relationship was found between DL and using ChatGPT for work or educational purposes. These results suggest that as DL improves, the use of AI tools like ChatGPT will diversify across different contexts. The study highlights the need for targeted DL programs to enhance AI adoption, reduce digital inequalities, and ensure that advanced technologies are accessible to all population segments.</p></span>" ] ] "multimedia" => array:13 [ 0 => array:8 [ "identificador" => "tbl0001" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0001" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0001"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">ID \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0002"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Item specification \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0003"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Mean ± SD \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0004"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">CV \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0005"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">To what extent do you agree with the following statements in the field of use of the technologies?</span></td><a name="en0006"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0007"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0008"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to open downloaded files \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0009"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.26 ± 2.68 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0010"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">32.45 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0011"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0012"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to download/save a photo I found online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0013"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8 ± 2.96 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">37.00 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to use shortcut keys (e.g. CTRLC for copy, CTRL I \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.83 ± 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">38.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to open a new tab in my browser \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.2 ± 2.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">34.15 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to bookmark a website \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0025"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.89 ± 3.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">38.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know where to click to go to a different webpage \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.3 ± 2.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">32.53 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to complete online forms \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.2 ± 2.69 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">32.80 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to upload files \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0037"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.77 ± 3.08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0038"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">39.64 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0039"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to adjust privacy settings \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.17 ± 3.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">44.07 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to connect to a WIFI network \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.45 ± 2.63 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">31.12 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0047"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="4" align="left" valign="top"><span class="elsevierStyleBold">To what extent do you agree with the following statements in the field of navigation and obtaining information?</span></td></tr><tr title="table-row"><a name="en0048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0049"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I find it hard to decide what the best keywords are to use for online searches \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.59 ± 3.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">84.40 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I find it hard to find a website I visited before \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.78 ± 2.97 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">106.83 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I get tired when looking for information online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.33 ± 2.88 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">86.49 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0061"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Sometimes I end up on websites without knowing how I got there \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.65 ± 3.26 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">89.32 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0065"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I find the way in which many websites are designed confusing \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0066"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.63 ± 2.86 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0067"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">61.77 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0069"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">All the different website layouts make working with the Internet difficult for me \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0070"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.89 ± 2.89 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0071"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">74.29 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0072"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0073"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I should take a course on finding information online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0074"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.87 ± 3.09 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0075"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">107.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0076"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0077"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Sometimes I find it hard to verify information I have retrieved \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.68 ± 3.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0079"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">65.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0080"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="4" align="left" valign="top"><span class="elsevierStyleBold">To what extent do you agree with the following statements in the field of the social aspects on the Internet?</span></td></tr><tr title="table-row"><a name="en0081"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know which information I should and shouldn't share online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.05 ± 2.43 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0084"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">30.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0085"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0086"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know when I should and shouldn't share information online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0087"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.97 ± 2.49 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0088"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">31.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0089"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0090"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I am careful to make my comments and behaviours appropriate to the situation I find myself in online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0091"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.96 ± 2.44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0092"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">30.65 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0093"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0094"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to change who I share content with (e.g. friends, friends of friends or public) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0095"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.84 ± 2.72 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0096"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">34.69 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0097"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0098"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to remove friends from my contact lists \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.17 ± 2.63 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">32.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I feel comfortable deciding who to follow online (e.g. on services like Twitter or Tumblr) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0103"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.62 ± 3.26 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0104"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">49.24 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0105"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="4" align="left" valign="top"><span class="elsevierStyleBold">To what extent do you agree with the following statements in the field of contents creation on the Internet?</span></td></tr><tr title="table-row"><a name="en0106"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0107"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to create something new from existing online images, music or video \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0108"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.09 ± 3.43 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0109"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">67.39 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0110"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0111"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to make basic changes to the content that others have produced \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0112"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.59 ± 3.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0113"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">75.16 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0114"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0115"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to design a website \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0116"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.58 ± 3.41 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0117"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">95.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0118"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0119"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know which different types of licences apply to online content \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0120"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.44 ± 3.33 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0121"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">75.00 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0122"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0123"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I would feel confident putting video content I have created online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0124"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.03 ± 3.57 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0125"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">59.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0126"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0127"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know which apps/software are safe to download \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0128"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.78 ± 3.15 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0129"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">54.50 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0130"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0131"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I am confident about writing a comment on a blog, website or forum \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0132"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.39 ± 3.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0133"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">66.98 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0134"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0135"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I would feel confident writing and commenting online \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0136"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.06 ± 3.15 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0137"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">51.98 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0138"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="4" align="left" valign="top"><span class="elsevierStyleBold">To what extent do you agree with the following statements in the field of mobile devices use?</span></td></tr><tr title="table-row"><a name="en0139"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0140"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to install apps on a mobile device \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0141"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.75 ± 3.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0142"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">40.26 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0143"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0144"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to download apps to my mobile device \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0145"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.77 ± 3.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0146"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">39.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0147"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0148"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">I know how to track the costs of mobile application use \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0149"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.43 ± 3.49 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0150"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">54.28 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713133.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara001" class="elsevierStyleSimplePara elsevierViewall">D variables description - population DL (ISS).</p>" ] ] 1 => array:8 [ "identificador" => "tbl0002" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0002" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara003" class="elsevierStyleSimplePara elsevierViewall">Note: Total = 1025.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0151"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">ID var \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0152"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">n \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0153"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">% \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0154"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Sex</span></td></tr><tr title="table-row"><a name="en0155"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Male \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0156"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">519 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0157"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">50.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0158"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Female \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0159"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">506 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0160"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">49.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0161"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Age</span></td></tr><tr title="table-row"><a name="en0162"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">18 - 24 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0163"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">68 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0164"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0165"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">25 - 34 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0166"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">158 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0167"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">15.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0168"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">35 - 44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0169"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">177 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0170"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">17.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0171"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">45 - 54 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0172"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">170 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0173"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0174"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">55 - 65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0175"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">170 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0176"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0177"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">66 - 99 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0178"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">282 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0179"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">27.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0180"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Municipality population</span></td></tr><tr title="table-row"><a name="en0181"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Up to 1000 inhabitants \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0182"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">157 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0183"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">15.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0184"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1001 to 5000 inhabitants \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0185"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">192 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0186"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">18.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0187"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5001 to 20,000 inhabitants \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0188"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">169 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0189"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0190"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">20,001 to 100,000 inhabitants \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0191"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">266 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0192"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">26.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0193"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">over 100,000 inhabitants \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0194"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">241 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0195"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">23.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0196"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Education</span></td></tr><tr title="table-row"><a name="en0197"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Primary and secondary without diploma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0198"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">451 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0199"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">44.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0200"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Secondary with diploma \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0201"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">341 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0202"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">33.3 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0203"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Tertiary \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0204"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">233 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0205"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">22.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0206"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Marital status</span></td></tr><tr title="table-row"><a name="en0207"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Married, living with a partner, \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0208"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">600 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0209"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">58.5 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0210"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Widowed \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0211"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">58 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0212"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0213"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Divorced \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0214"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">150 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0215"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">14.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0216"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Single \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0217"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">217 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0218"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">21.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0219"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_colgroup " colspan="3" align="left" valign="top"><span class="elsevierStyleBold">Segment Family Lifecycle</span></td></tr><tr title="table-row"><a name="en0220"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">STUDENT \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0221"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0222"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0223"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">SINGLES & DINKIES \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0224"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">171 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0225"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">16.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0226"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">YOUNG FAMILIES \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0227"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">206 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0228"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">20.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0229"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">ELDER FAMILIES \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0230"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">107 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0231"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">10.4 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0232"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">EMPTY NESTERS \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0233"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">222 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0234"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">21.7 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0235"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">SILVER AGE \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0236"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">277 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0237"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">27.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0238"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Others \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0239"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0240"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.0 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713137.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara002" class="elsevierStyleSimplePara elsevierViewall">Research sample description.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0003" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0003" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0241"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">ID \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0242"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Item \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0243"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Item specification (use purpose) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0244"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">No \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0245"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Yes \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0246"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">AI 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0247"></a><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="5" align="left" valign="top">For what purposes have you used ChatGPT?</td><a name="en0248"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">for testing purpose \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0249"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">43 (19.6 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0250"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">176 (80.4 %) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0251"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">AI 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0253"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">for entertainment \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0254"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">65 (29.7 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0255"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">154 (70.3 %) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0256"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">AI 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0258"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">for educational or work purpose \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0259"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">120 (54.8 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0260"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">99 (45.2 %) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0261"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">AI 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0263"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">for obtaining new knowledge \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0264"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">81 (37.0 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0265"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">138 (63.0 %) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0266"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">AI 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0268"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">as a companion in moments of solitude \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0269"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">177 (80.8 %) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0270"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">42 (19.2 %) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713140.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara004" class="elsevierStyleSimplePara elsevierViewall">AI variables description.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0004" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0004" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0271"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Spearman ρ \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0272"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Mean \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0273"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">CV % \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0274"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">D1 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0275"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">D II \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0276"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">D III \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0277"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">D IV \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0278"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">D V \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0279"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">D1 Operational</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0280"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0281"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">30.86 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0282"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0283"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.485 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0284"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.646 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0285"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.544 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0286"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.669 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0287"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">D II Information Navigation</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0288"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.68 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0289"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">62.57 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0290"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0291"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0292"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.453 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0293"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.295 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0294"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.431 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0295"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">D III Social</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0296"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.77 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0297"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">27.57 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0298"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0299"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0300"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0301"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.536 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0302"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.648 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0303"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">D IV Creative</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0304"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0305"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">53.11 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0306"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0307"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0308"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0309"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0310"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.621 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0311"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">D V Mobile</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0312"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.32 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0313"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">39.90 % \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0314"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0315"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0316"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0317"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><0.001 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0318"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713142.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara005" class="elsevierStyleSimplePara elsevierViewall">Descriptive and correlation analysis (Spearman ρ) - DL indicators (ISS).</p>" ] ] 4 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 5" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0005" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara007" class="elsevierStyleSimplePara elsevierViewall">Note: NO - did not use ChatGPT, YES - used ChatGPT.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0319"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">var</th><a name="en0320"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">Q 28 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0321"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">mean no to yes</th><a name="en0322"></a><th class="td-with-role" title="\n \t\t\t\t\ttable-head\n \t\t\t\t ; entry_with_role_rowgroup " rowspan="2" align="left" valign="top" scope="col" style="border-bottom: 2px solid black">std.dev. no to yes</th></tr><tr title="table-row"><a name="en0324"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">W Stat(p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0327"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0328"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">76,058.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0329"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.17/8.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0330"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.72/2.54 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0331"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0332"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">70,800.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0333"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.82/8.66 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0334"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.05/2.51 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0335"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0336"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">71,770.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0337"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.64/8.53 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0338"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.08/2.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0339"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0340"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">75,168(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0341"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.08/8.66 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0342"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.84/2.56 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0343"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0344"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">72,536.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0345"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.74/8.44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0346"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.09/2.75 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0347"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0348"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">75,321.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0349"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.2/8.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0350"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.72/2.58 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0351"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0352"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">76,462.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0353"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.12/8.5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0354"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.71/2.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0355"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0356"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">67,329(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0357"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.55/8.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0358"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.14/2.66 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0359"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0360"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">66,574.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0361"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.89/8.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0362"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.24/2.6 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0363"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0364"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">79,161.5(0.008)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0365"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.39/8.65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0366"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.64/2.57 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0367"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0368"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">100,936.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0369"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.74/3.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0370"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.02/3.02 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0371"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0372"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">102,396(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0373"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.93/2.23 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0374"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.98/2.89 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0375"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0376"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">90,772.5(0.513) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0377"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.35/3.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0378"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.83/3.06 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0379"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0380"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">106,213.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0381"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.87/2.82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0382"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.24/3.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0383"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0384"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">101,339.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0385"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.79/4.04 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0386"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.8/3.01 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0387"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0388"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">102,112.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0389"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.06/3.27 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0390"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.86/2.92 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0391"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0392"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">101,768.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0393"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.02/2.32 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0394"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.09/3.04 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0395"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0396"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">106,298(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0397"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.91/3.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0398"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.02/3.08 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0399"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0400"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">81,019(0.052) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0401"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.99/8.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0402"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.46/2.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0403"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0404"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">79,839(0.024)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0405"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.88/8.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0406"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.56/2.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0407"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0408"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">81,968(0.094) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0409"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.9/8.21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0410"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.48/2.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0411"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0412"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">72,825.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0413"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.66/8.47 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0414"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.81/2.23 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0415"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0416"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">75,767(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0417"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.05/8.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0418"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.72/2.2 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0419"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0420"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">65,693(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0421"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.32/7.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0422"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.3/2.86 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0423"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0424"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">52,336.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0425"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.57/7.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0426"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.4/2.76 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0427"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0428"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">58,430(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0429"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.16/6.17 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0430"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.43/3.03 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0431"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0432"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">54,785.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0433"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.11/5.31 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0434"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.3/3.25 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0435"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0436"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">60,321.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0437"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.05/5.91 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0438"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.29/3.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0439"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0440"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">56,028.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0441"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.55/7.81 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0442"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.63/2.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0443"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0444"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">56,496.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0445"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.35/7.35 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0446"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.18/2.46 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0447"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0448"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">59,099.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0449"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.95/7.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0450"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.61/3.11 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0451"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0452"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">69,311(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0453"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.81/7.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0454"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.2/2.75 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0455"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0456"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">67,088(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0457"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.48/8.75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0458"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.26/2.31 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0459"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0460"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">66,720.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0461"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.5/8.76 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0462"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.2/2.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0463"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0464"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">63,852(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0465"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.06/7.77 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0466"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.57/2.8 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713138.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara006" class="elsevierStyleSimplePara elsevierViewall">Have you tried how ChatGPT works? (Q 28) & DL (D) - test of differences and descriptive analysis.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0006" "etiqueta" => "Table 6" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0006" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara009" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0467"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0468"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0469"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0470"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Intercept \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0471"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−2.38 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0472"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.09 (0.05 - 0.17) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0473"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0474"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.13 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0475"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.14 (1.06 - 1.23) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0476"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Intercept \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0477"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.8 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0478"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.45 (0.34 - 0.59) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0479"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II Information Navigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0480"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.15 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0481"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.86 (0.81 - 0.93) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0482"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Intercept \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0483"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−2.55 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0484"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.08 (0.04 - 0.15) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0485"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0486"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0487"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.17 (1.08 - 1.27) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0488"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Intercept \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0489"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−3.03 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0490"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.05 (0.03 - 0.07) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0491"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0492"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.3 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0493"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.35 (1.27 - 1.44) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0494"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">Intercept \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0495"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−2.95 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0496"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.05 (0.03 - 0.09) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0497"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0498"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.21 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0499"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.24 (1.16 - 1.33) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713134.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara008" class="elsevierStyleSimplePara elsevierViewall">Outcome of the Binomial Regression Models (H1) - Dependent Variable: ChatGPT Use, Independent Variable: ISS DL.</p>" ] ] 6 => array:8 [ "identificador" => "tbl0007" "etiqueta" => "Table 7" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0007" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0500"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">var \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0501"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">AI 1 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0502"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">AI 2 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0503"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">AI 3 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0504"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">AI 4 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0505"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">AI 5 \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0506"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0507"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2801(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0508"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3919.5(0.003)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0509"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5963.5(0.953) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0510"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5160.5(0.261) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0511"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4762.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0512"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0513"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2801(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0514"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4011(0.005)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0515"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6135.5(0.61) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0516"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5351(0.522) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0517"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4835(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0518"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0519"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2707(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0520"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4030.5(0.008)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0521"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6069.5(0.747) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0522"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4999(0.128) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0523"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4702.5(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0524"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0525"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2606(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0526"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4069(0.009)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0527"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5982(0.915) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0528"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5111.5(0.205) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0529"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4794(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0530"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0531"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2595.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0532"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4090(0.011)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0533"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6154(0.584) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0534"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4964.5(0.099) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0535"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4574(0.005)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0536"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0537"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2773(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0538"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3888(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0539"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6037.5(0.802) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0540"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5205.5(0.306) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0541"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4704.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0542"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0543"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2982(0.012)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0544"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3779(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0545"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6131(0.632) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0546"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5025.5(0.145) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0547"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4737(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0548"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0549"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2826.5(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0550"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3923.5(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0551"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6137.5(0.611) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0552"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5255(0.375) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0553"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4872.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0554"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0555"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2808.5(0.004)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0556"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4030.5(0.013)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0557"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6048(0.802) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0558"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5017.5(0.169) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0559"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4483.5(0.024)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0560"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D1 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0561"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2860.5(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0562"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4014(0.005)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0563"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6213(0.476) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0564"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5420.5(0.651) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0565"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4884.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0566"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0567"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4506.5(0.048)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0568"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">6065.5(0.012)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0569"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5958(0.969) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0570"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6445(0.054) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0571"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3120.5(0.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0572"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0573"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4483.5(0.047)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0574"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5520.5(0.203) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0575"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5657.5(0.523) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0576"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5978(0.364) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0577"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2958.5(0.03)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0578"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0579"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4240.5(0.213) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0580"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5293.5(0.494) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0581"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5993.5(0.908) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0582"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">6477.5(0.046)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0583"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3112(0.096) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0584"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0585"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4443(0.066) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0586"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5620.5(0.135) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0587"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5823(0.795) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0588"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6149.5(0.198) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0589"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3047.5(0.059) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0590"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0591"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4207.5(0.252) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0592"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5393.5(0.361) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0593"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5875(0.889) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0594"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6443.5(0.057) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0595"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2957(0.038)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0596"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0597"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4543(0.039)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0598"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">5854.5(0.044)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0599"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6205(0.565) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0600"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6040(0.312) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0601"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3095.5(0.087) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0602"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0603"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4728.5(0.007)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0604"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5727(0.073) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0605"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5519(0.338) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0606"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">6443.5(0.045)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0607"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2906.5(0.02)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0608"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0609"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4374(0.11) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0610"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5344.5(0.425) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0611"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6241.5(0.515) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0612"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6444(0.057) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0613"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3382.5(0.361) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0614"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0615"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2738(0.003)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0616"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4050(0.017)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0617"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6099.5(0.716) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0618"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5412.5(0.678) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0619"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4757.5(0.003)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0620"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0621"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2698.5(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0622"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3836.5(0.004)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0623"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6048.5(0.805) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0624"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5597(0.986) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0625"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4719(0.004)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0626"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0627"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2562.5(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0628"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3988.5(0.013)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0629"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5631.5(0.488) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0630"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5891.5(0.484) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0631"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4829(0.002)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0632"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0633"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3095(0.042)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0634"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4293.5(0.068) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0635"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5746(0.648) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0636"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5701(0.786) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0637"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4800(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0638"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0639"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2816.5(0.003)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0640"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4063(0.012)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0641"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6063(0.763) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0642"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5471.5(0.767) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0643"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">5148.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0644"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0645"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2776(0.004)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0646"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3809.5(0.003)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0647"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6178(0.59) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0648"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5100(0.253) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0649"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4599.5(0.011)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0650"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0651"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3656(0.727) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0652"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4622.5(0.363) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0653"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5628(0.496) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0654"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4763.5(0.063) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0655"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3869.5(0.675) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0656"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0657"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3664(0.746) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0658"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4618(0.363) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0659"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5303(0.169) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0660"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4426.5(0.01)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0661"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3852(0.713) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0662"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0663"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3858.5(0.842) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0664"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5069(0.881) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0665"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4994(0.041)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0666"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4646.5(0.036)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0667"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3719(0.997) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0668"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0669"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3632.5(0.683) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0670"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4454(0.195) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0671"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5744.5(0.673) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0672"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5053.5(0.233) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0673"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3472(0.504) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0674"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0675"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2972(0.021)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0676"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4164(0.037)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0677"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5640(0.496) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0678"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5195(0.357) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0679"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4318.5(0.084) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0680"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0681"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3112.5(0.067) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0682"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4046.5(0.023)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0683"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5981(0.93) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0684"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4485(0.013)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0685"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4170(0.212) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0686"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0687"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3251(0.141) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0688"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4660(0.408) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0689"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5432.5(0.263) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0690"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">5226.5(0.41)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0691"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4453(0.04)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0692"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0693"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3100.5(0.062) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0694"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4144.5(0.041)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0695"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5589(0.445) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0696"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5030(0.21) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0697"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4482(0.035)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0698"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0699"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2792(0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0700"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4015(0.006)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0701"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6224(0.467) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0702"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5594.5(0.989) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0703"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">5015(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0704"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0705"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">2955.5(0.008)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0706"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4286.5(0.046)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0707"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6032.5(0.814) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0708"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5523.5(0.864) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0709"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">4803.5(<0.001)</span> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0710"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0711"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top"><span class="elsevierStyleBold">3166(0.08)</span> \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0712"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4403.5(0.138) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0713"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5841.5(0.824) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0714"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4820(0.073) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0715"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4278(0.109) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713144.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara010" class="elsevierStyleSimplePara elsevierViewall">For what purposes did you use the ChatGPT system (AI 5) & DL (D) - test of differences.</p>" ] ] 7 => array:8 [ "identificador" => "tbl0008" "etiqueta" => "Table 8" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0008" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara012" class="elsevierStyleSimplePara elsevierViewall">Note: NO - did not use ChatGPT for the particular purpose, YES - used ChatGPT for the particular purpose.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0716"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">mean \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0717"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">AI 1 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0718"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">AI 2 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0719"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">AI 3 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0720"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">AI 4 \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0721"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col">AI 5 \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr><tr title="table-row"><a name="en0722"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0723"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">NO / YES \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0724"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">NO / YES \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0725"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">NO / YES \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0726"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">NO / YES \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0727"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">NO / YES \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0728"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0729"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.6/8.84 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0730"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.82/8.92 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0731"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.63/8.55 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0732"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.35/8.74 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0733"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.84/7.55 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0734"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0735"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.7/8.9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0736"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.03/8.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0737"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.76/8.55 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0738"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.47/8.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0739"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.9/7.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0740"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0741"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.47/8.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0742"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.83/8.82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0743"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.58/8.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0744"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.21/8.71 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0745"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.75/7.57 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0746"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0747"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.47/8.95 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0748"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.02/8.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0749"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.7/8.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0750"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.35/8.84 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0751"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.89/7.67 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0752"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0753"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.28/8.72 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0754"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.72/8.74 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0755"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.46/8.41 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0756"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.91/8.75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0757"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.62/7.69 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0758"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0759"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.51/8.91 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0760"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.98/8.92 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0761"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.7/8.57 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0762"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.36/8.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0763"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.86/7.71 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0764"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0765"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.67/8.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0766"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.74/8.82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0767"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.68/8.29 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0768"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.27/8.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0769"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.77/7.38 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0770"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0771"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.72/8.81 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0772"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.94/8.87 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0773"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.76/8.39 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0774"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.36/8.73 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0775"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.85/7.52 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0776"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0777"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.19/8.44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0778"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.6/8.44 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0779"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.22/8.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0780"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.88/8.38 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0781"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.37/7.43 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0782"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I 10 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0783"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.84/8.85 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0784"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8/8.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0785"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.77/8.52 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0786"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.48/8.75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0787"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.94/7.43 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0788"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0789"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.88/2.82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0790"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.75/2.73 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0791"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.91/3.18 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0792"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.47/2.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0793"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.85/3.81 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0794"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0795"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.21/1.99 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0796"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.63/2.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0797"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.05/2.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0798"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.43/2.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0799"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.03/3.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0800"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0801"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.74/3.17 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0802"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.46/3.21 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0803"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.28/3.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0804"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.79/2.99 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0805"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.1/4.07 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0806"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0807"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.65/2.61 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0808"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.28/2.62 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0809"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.69/2.97 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0810"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.16/2.62 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0811"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.59/3.79 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0812"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0813"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.47/3.93 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0814"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.26/3.94 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0815"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4/4.08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0816"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.52/3.75 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0817"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.84/4.88 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0818"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0819"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.16/3.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0820"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.88/3.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0821"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.37/3.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0822"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.51/3.14 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0823"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.11/3.95 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0824"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0825"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.4/2.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0826"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.72/2.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0827"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.12/2.58 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0828"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.79/2.05 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0829"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.03/3.57 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0830"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0831"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.47/3.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0832"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.05/3.7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0833"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.88/3.71 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0834"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.25/3.54 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0835"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.69/4.29 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0836"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0837"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.53/8.46 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0838"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.78/8.49 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0839"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.35/8.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0840"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.23/8.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0841"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.55/7.14 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0842"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0843"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.37/8.53 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0844"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.65/8.58 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0845"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.39/8.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0846"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.27/8.32 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0847"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.56/7.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0848"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0849"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.21/8.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0850"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.63/8.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0851"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.18/8.23 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0852"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.4/8.09 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0853"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.5/6.98 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0854"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0855"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8/8.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0856"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.03/8.66 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0857"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.46/8.48 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0858"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.51/8.45 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0859"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.71/7.48 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0860"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0861"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.86/8.84 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0862"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.22/8.82 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0863"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.78/8.47 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0864"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.64/8.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0865"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.99/7.17 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0866"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0867"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.7/7.95 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0868"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.91/8.04 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0869"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.86/7.52 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0870"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.44/7.86 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0871"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.94/6.71 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0872"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0873"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.05/7.02 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0874"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.89/7.08 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0875"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.88/7.2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0876"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.63/7.25 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0877"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.05/6.9 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0878"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0879"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.12/6.19 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0880"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.94/6.27 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0881"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.91/6.49 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0882"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.47/6.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0883"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.22/5.98 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0884"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0885"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.4/5.28 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0886"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.35/5.29 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0887"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.9/5.8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0888"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">4.72/5.65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0889"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.3/5.33 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0890"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 4 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0891"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.74/5.95 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0892"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.52/6.07 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0893"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.82/6.01 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0894"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.57/6.11 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0895"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">5.84/6.21 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0896"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 5 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0897"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.93/8.03 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0898"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.22/8.06 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0899"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.7/7.95 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0900"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.57/7.96 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0901"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.95/7.21 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0902"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 6 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0903"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.72/7.51 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0904"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.78/7.59 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0905"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.39/7.3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0906"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.86/7.64 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0907"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.46/6.88 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0908"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 7 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0909"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.42/7.16 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0910"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.77/7.12 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0911"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.75/7.34 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0912"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.81/7.14 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0913"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.2/6.26 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0914"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV 8 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0915"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.51/7.14 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0916"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.49/7.24 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0917"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.88/7.18 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0918"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.75/7.17 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0919"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.24/6.1 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0920"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 1 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0921"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.91/8.96 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0922"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.31/8.94 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0923"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.95/8.52 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0924"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.81/8.72 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0925"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">9.1/7.29 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0926"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 2 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0927"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.19/8.9 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0928"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.38/8.92 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0929"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.86/8.65 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0930"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">8.73/8.78 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0931"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">9.03/7.64 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0932"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V 3 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0933"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.14/7.92 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0934"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.37/7.94 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0935"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.82/7.71 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0936"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.41/7.98 \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0937"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">7.9/7.19 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713135.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara011" class="elsevierStyleSimplePara elsevierViewall">For what purposes did you use the ChatGPT system (AI 5) & DL (D) - arithmetic mean in second-order sorting.</p>" ] ] 8 => array:8 [ "identificador" => "tbl0009" "etiqueta" => "Table 9" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0009" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara014" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0938"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0939"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0940"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0941"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0942"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.03 (0.951) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0943"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.97 (0.35 - 2.74) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0944"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0945"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.17 (0.004) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0946"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.19 (1.06 - 1.34) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0947"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0948"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.92 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0949"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">6.85 (3.91 - 12.71) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0950"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II Information Navigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0951"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.15 (0.023) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0952"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.86 (0.75 - 0.98) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0953"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0954"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.37 (0.554) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0955"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.69 (0.2 - 2.42) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0956"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0957"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.22 (0.004) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0958"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.25 (1.07 - 1.46) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0959"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0960"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.81 (0.133) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0961"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.24 (0.8 - 6.63) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0962"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0963"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.09 (0.246) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0964"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.1 (0.94 - 1.28) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0965"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0966"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.06 (0.916) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0967"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.07 (0.33 - 3.61) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0968"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0969"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 (0.023) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0970"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.18 (1.02 - 1.36) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713136.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara013" class="elsevierStyleSimplePara elsevierViewall">Outcome of Binomial Regression Models (H2) - Dependent Variable: Purpose of ChatGPT Use (Just to Try It Out or Curiosity About What It Can Do); Independent Variable: ISS DL.</p>" ] ] 9 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 10" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0010" "detalle" => "Table 1" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara016" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en0971"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0972"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en0973"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en0974"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0975"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.39 (0.441) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0976"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.68 (0.25 - 1.82) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0977"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0978"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.15 (0.01) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0979"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.16 (1.04 - 1.3) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0980"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0981"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.16 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0982"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">3.2 (2 - 5.27) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0983"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II InformationNavigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0984"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.09 (0.116) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0985"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.91 (0.81 - 1.02) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0986"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0987"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.65 (0.271) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0988"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.52 (0.16 - 1.67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0989"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0990"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.19 (0.009) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0991"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.2 (1.05 - 1.39) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0992"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0993"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.19 (0.693) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0994"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.21 (0.48 - 3.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0995"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0996"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.1 (0.14) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0997"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.11 (0.97 - 1.27) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en0998"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en0999"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.13 (0.815) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1000"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.88 (0.29 - 2.71) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1001"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1002"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.12 (0.071) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1003"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.13 (0.99 - 1.28) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713139.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara015" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleBold">Outcome of Binomial Regression Models (H3) -</span> Dependent Variable: Purpose of ChatGPT Use (For Fun, Entertainment), Independent Variable: ISS DL.</p>" ] ] 10 => array:8 [ "identificador" => "tbl0011" "etiqueta" => "Table 11" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0011" "detalle" => "Table 1" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara018" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en1004"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1005"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1006"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en1007"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1008"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.06 (0.908) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1009"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.06 (0.4 - 2.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1010"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1011"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.03 (0.598) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1012"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.97 (0.87 - 1.08) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1013"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1014"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.26 (0.228) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1015"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.77 (0.5 - 1.18) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1016"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II InformationNavigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1017"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.02 (0.676) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1018"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.02 (0.92 - 1.14) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1019"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1020"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.12 (0.833) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1021"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.13 (0.37 - 3.47) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1022"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1023"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.04 (0.572) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1024"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.96 (0.84 - 1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1025"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1026"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.76 (0.096) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1027"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.47 (0.19 - 1.13) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1028"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1029"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.08 (0.191) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1030"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.09 (0.96 - 1.24) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1031"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1032"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.27 (0.625) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1033"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.31 (0.44 - 3.91) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1034"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1035"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.05 (0.387) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1036"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.95 (0.83 - 1.07) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713143.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara017" class="elsevierStyleSimplePara elsevierViewall">Outcome of the Binomial Regression Models (H4) - Dependent Variable: Purpose of ChatGPT Use: For Tasks at Work/School, Independent Variable: ISS DL.</p>" ] ] 11 => array:8 [ "identificador" => "tbl0012" "etiqueta" => "Table 12" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0012" "detalle" => "Table 1" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara020" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en1037"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1038"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1039"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en1040"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1041"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.09 (0.862) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1042"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.92 (0.34 - 2.45) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1043"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1044"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.07 (0.194) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1045"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.08 (0.96 - 1.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1046"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1047"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.86 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1048"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.35 (1.5 - 3.75) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1049"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II InformationNavigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1050"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.1 (0.074) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1051"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.9 (0.81 - 1.01) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1052"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1053"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.47 (0.418) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1054"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.61 (0.52 - 5.24) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1055"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1056"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.01 (0.919) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1057"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.01 (0.88 - 1.15) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1058"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1059"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.4 (0.382) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1060"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.67 (0.27 - 1.64) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1061"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1062"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.14 (0.034) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1063"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.15 (1.01 - 1.31) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1064"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1065"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.21 (0.701) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1066"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.24 (0.42 - 3.81) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1067"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1068"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.04 (0.558) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1069"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.04 (0.91 - 1.18) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713141.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara019" class="elsevierStyleSimplePara elsevierViewall">Outcome of the Binomial Regression Models (H5) - Dependent Variable: Purpose of Using ChatGPT (To Learn Something New), Independent Variable: ISS DL.</p>" ] ] 12 => array:8 [ "identificador" => "tbl0013" "etiqueta" => "Table 13" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "alt0013" "detalle" => "Table 1" "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spara022" class="elsevierStyleSimplePara elsevierViewall">Note: OR: Odds ratio - Exp(β).</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><a name="en1070"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">Parameter \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1071"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">β (p value) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><a name="en1072"></a><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="top" scope="col" style="border-bottom: 2px solid black">OR (95 % CI) \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><a name="en1073"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1074"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.03 (0.948) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1075"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.97 (0.34 - 2.67) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1076"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D I Operational \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1077"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.17 (0.006) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1078"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.84 (0.75 - 0.95) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1079"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1080"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−1.99 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1081"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.14 (0.07 - 0.24) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1082"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D II InformationNavigation \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1083"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.16 (0.016) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1084"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.18 (1.03 - 1.35) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1085"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1086"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1 (0.115) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1087"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">2.72 (0.78 - 9.65) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1088"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D III Social \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1089"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.31 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1090"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.73 (0.62 - 0.86) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1091"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1092"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.84 (0.121) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1093"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.43 (0.14 - 1.22) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1094"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D IV Creative \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1095"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.09 (0.252) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1096"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.91 (0.78 - 1.07) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1097"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">(Intercept) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1098"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.54 (0.362) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1099"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">1.72 (0.53 - 5.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><a name="en1100"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">D V Mobile \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1101"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">−0.24 (<0.001) \t\t\t\t\t\t\n \t\t\t\t</td><a name="en1102"></a><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="" valign="top">0.78 (0.68 - 0.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab3713145.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spara021" class="elsevierStyleSimplePara elsevierViewall">Outcome of the Binomial Regression Models (H6) - Dependent Variable: Purpose of ChatGPT Use (As a Companion in Moments of Solitude), Independent Variable: ISS DL.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "cebibsec1" "bibliografiaReferencia" => array:121 [ 0 => array:3 [ "identificador" => "bib0001" "etiqueta" => "Abdullah, Madain and Jararweh, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT: Fundamentals, applications and social impacts" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1109/snams58071.2022.10062688" "LibroEditado" => array:4 [ "titulo" => "2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS)" "paginaInicial" => "1" "paginaFinal" => "8" "serieFecha" => "2022" ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0002" "etiqueta" => "Adeshola and Adepoju, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The opportunities and challenges of ChatGPT in education" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:4 [ "tituloSerie" => "Interactive Learning Environments" "fecha" => "2023" "paginaInicial" => "1" "paginaFinal" => "14" ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0003" "etiqueta" => "Alghizzawi, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A Review of the Chat GBT Technology Role in Marketing Research" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/978-3-031-52280-2_31" "Revista" => array:3 [ "tituloSerie" => "Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom" "fecha" => "2024" "volumen" => "497–507" ] ] ] ] ] ] 3 => array:3 [ "identificador" => "bib0004" "etiqueta" => "Alzyoudi and Al Mazroui, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT as a coping mechanism for social isolation: An analysis of user experiences and perceptions of social support" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.30935/ojcmt/14617" "Revista" => array:4 [ "tituloSerie" => "Online Journal of Communication and Media Technologies" "fecha" => "2024" "volumen" => "14" "numero" => "3" ] ] ] ] ] ] 4 => array:3 [ "identificador" => "bib0006" "etiqueta" => "Al Lily et al., 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT and the rise of semi-humans" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1057/s41599-023-02154-3" "Revista" => array:6 [ "tituloSerie" => "Humanities and Social Sciences Communications" "fecha" => "2023" "volumen" => "10" "numero" => "1" "paginaInicial" => "1" "paginaFinal" => "12" ] ] ] ] ] ] 5 => array:3 [ "identificador" => "bib0007" "etiqueta" => "Ali, Murray, Momin and Al-Anzi, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The knowledge and innovation challenges of ChatGPT: A scoping review" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.techsoc.2023.102402" "Revista" => array:3 [ "tituloSerie" => "Technology in Society" "fecha" => "2023" "volumen" => "102402" ] ] ] ] ] ] 6 => array:3 [ "identificador" => "bib0008" "etiqueta" => "Alshahrani, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The impact of ChatGPT on blended learning: Current trends and future research directions" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.5267/j.ijdns.2023.6.010" "Revista" => array:6 [ "tituloSerie" => "International Journal of Data and Network Science" "fecha" => "2023" "volumen" => "7" "numero" => "4" "paginaInicial" => "2029" "paginaFinal" => "2040" ] ] ] ] ] ] 7 => array:3 [ "identificador" => "bib0009" "etiqueta" => "Arman and Lamiyar, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Exploring the implication of ChatGPT AI for business: Efficiency and challenges" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.31098/ijmadic.v1i2.1872" "Revista" => array:6 [ "tituloSerie" => "International Journal of Marketing and Digital Creative" "fecha" => "2023" "volumen" => "1" "numero" => "2" "paginaInicial" => "64" "paginaFinal" => "84" ] ] ] ] ] ] 8 => array:3 [ "identificador" => "bib0010" "etiqueta" => "Bacalja, Aguilera and Castrillón-Ángel, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Critical digital literacy" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:5 [ "titulo" => "The handbook of critical literacies" "fecha" => "2021" "paginaInicial" => "373" "paginaFinal" => "380" "editorial" => "Routledge" ] ] ] ] ] ] 9 => array:3 [ "identificador" => "bib0011" "etiqueta" => "Baidoo-Anu and Ansah, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.61969/jai.1337500" "Revista" => array:6 [ "tituloSerie" => "Journal of AI" "fecha" => "2023" "volumen" => "7" "numero" => "1" "paginaInicial" => "52" "paginaFinal" => "62" ] ] ] ] ] ] 10 => array:3 [ "identificador" => "bib0012" "etiqueta" => "Bejaković and Mrnjavac, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The importance of digital literacy on the labour market" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/er-07-2019-0274" "Revista" => array:6 [ "tituloSerie" => "Employee Relations: The International Journal" "fecha" => "2020" "volumen" => "42" "numero" => "4" "paginaInicial" => "921" "paginaFinal" => "932" ] ] ] ] ] ] 11 => array:3 [ "identificador" => "bib0013" "etiqueta" => "Biagi, 2011" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:1 [ "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:4 [ "fecha" => "2011" "paginaInicial" => "464" "editorial" => "Wadsworth Publishing" "editorialLocalizacion" => "New York" ] ] ] ] ] ] 12 => array:3 [ "identificador" => "bib0014" "etiqueta" => "Brachten, Kissmer and Stieglitz, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The acceptance of chatbots in an enterprise context–A survey study" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ijinfomgt.2021.102375" "Revista" => array:3 [ "tituloSerie" => "International Journal of Information Management" "fecha" => "2021" "volumen" => "60" ] ] ] ] ] ] 13 => array:3 [ "identificador" => "bib0015" "etiqueta" => "Camilleri, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.techfore.2024.123247" "Revista" => array:3 [ "tituloSerie" => "Technological Forecasting and Social Change" "fecha" => "2024" "volumen" => "201" ] ] ] ] ] ] 14 => array:3 [ "identificador" => "bib0016" "etiqueta" => "Capello and Lenzi, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Automation and labour market inequalities: A comparison between cities and non-cities" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1038/s42949-023-00135-8" "Revista" => array:4 [ "tituloSerie" => "npj Urban Sustain" "fecha" => "2023" "volumen" => "3" "paginaInicial" => "56" ] ] ] ] ] ] 15 => array:3 [ "identificador" => "bib0040" "etiqueta" => "Chen and Li, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital inequalities in American disadvantaged urban communities: Access, skills, and expectations for digital inclusion programs. Information" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/1369118x.2021.1907434" "Revista" => array:7 [ "tituloSerie" => "Communication & Society" "fecha" => "2022" "volumen" => "25" "numero" => "13" "paginaInicial" => "1916" "paginaFinal" => "1933" "link" => array:1 [ …1] ] ] ] ] ] ] 16 => array:3 [ "identificador" => "bib0041" "etiqueta" => "Christy et al., 2019" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "I want to talk to a real person: Theorising avoidance in the acceptance and use of automated technologies" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/20476965.2017.1406568" "Revista" => array:7 [ "tituloSerie" => "Health Systems" "fecha" => "2019" "volumen" => "8" "numero" => "1" "paginaInicial" => "31" "paginaFinal" => "43" "link" => array:1 [ …1] ] ] ] ] ] ] 17 => array:3 [ "identificador" => "bib0042" "etiqueta" => "Choudhury and Shamszare, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The impact of performance expectancy, workload, risk, and satisfaction on trust in ChatGPT: Cross-sectional survey analysis" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2196/55399" "Revista" => array:5 [ "tituloSerie" => "JMIR Human Factors" "fecha" => "2024" "volumen" => "11" "paginaInicial" => "e55399" "link" => array:1 [ …1] ] ] ] ] ] ] 18 => array:3 [ "identificador" => "bib0018" "etiqueta" => "Della Longa, Valori and Farroni, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Interpersonal affective touch in a virtual world: Feeling the social presence of others to overcome loneliness" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3389/fpsyg.2021.795283" "Revista" => array:3 [ "tituloSerie" => "Frontiers in Psychology" "fecha" => "2022" "volumen" => "12" ] ] ] ] ] ] 19 => array:3 [ "identificador" => "bib0019" "etiqueta" => "Deursen and Van Dijk, 2010" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Measuring internet skills" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/10447318.2010.496338" "Revista" => array:6 [ "tituloSerie" => "International journal of human-computer interaction" "fecha" => "2010" "volumen" => "26" "numero" => "10" "paginaInicial" => "891" "paginaFinal" => "916" ] ] ] ] ] ] 20 => array:3 [ "identificador" => "bib0020" "etiqueta" => "Erwin and Mohammed, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital Literacy Skills Instruction and Increased Skills Proficiency" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.46328/ijtes.364" "Revista" => array:6 [ "tituloSerie" => "International Journal of Technology in Education and Science" "fecha" => "2022" "volumen" => "6" "numero" => "2" "paginaInicial" => "323" "paginaFinal" => "332" ] ] ] ] ] ] 21 => array:3 [ "identificador" => "bib0021" "etiqueta" => "Eshet-Alkalai and Soffer, 2012" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Guest editorial–Navigating in the digital era: Digital literacy: Socio-cultural and educational aspects" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ijbiomac.2024.136931" "Revista" => array:7 [ "tituloSerie" => "Educational Technology & Society" "fecha" => "2012" "volumen" => "15" "numero" => "2" "paginaInicial" => "1" "paginaFinal" => "2" "link" => array:1 [ …1] ] ] ] ] ] ] 22 => array:3 [ "identificador" => "bib0022" "etiqueta" => "George and George, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A review of ChatGPT AI's impact on several business sectors" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.5281/zenodo.7644359" "Revista" => array:6 [ "tituloSerie" => "Partners universal international innovation journal" "fecha" => "2023" "volumen" => "1" "numero" => "1" "paginaInicial" => "9" "paginaFinal" => "23" ] ] ] ] ] ] 23 => array:3 [ "identificador" => "bib0023" "etiqueta" => "Gillespie, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Generative AI and the politics of visibility" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/20539517241252131" "Revista" => array:5 [ "tituloSerie" => "Big Data & Society" "fecha" => "2024" "volumen" => "11" "numero" => "2" "link" => array:1 [ …1] ] ] ] ] ] ] 24 => array:3 [ "identificador" => "bib0024" "etiqueta" => "Gill, Xu and Patros, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.iotcps.2023.06.002" "Revista" => array:5 [ "tituloSerie" => "Internet of Things and Cyber-Physical Systems" "fecha" => "2024" "volumen" => "4" "paginaInicial" => "19" "paginaFinal" => "23" ] ] ] ] ] ] 25 => array:3 [ "identificador" => "bib0025" "etiqueta" => "Gkinko and Elbanna, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The appropriation of conversational AI in the workplace: A taxonomy of AI chatbot users" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ijinfomgt.2022.102568" "Revista" => array:3 [ "tituloSerie" => "International Journal of Information Management" "fecha" => "2023" "volumen" => "69" ] ] ] ] ] ] 26 => array:3 [ "identificador" => "bib0026" "etiqueta" => "Goodman, Patrinely and Stone, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Accuracy and reliability of chatbot responses to physician questions" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1001/jamanetworkopen.2023.36483" "Revista" => array:4 [ "tituloSerie" => "JAMA Netw Open" "fecha" => "2023" "volumen" => "6" "numero" => "10" ] ] ] ] ] ] 27 => array:3 [ "identificador" => "bib0027" "etiqueta" => "Gorenz and Schwarz, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "How funny is ChatGPT? A comparison of human-and AI-produced jokes" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.31234/osf.io/5yz8n" "Revista" => array:4 [ "tituloSerie" => "PloS one" "fecha" => "2024" "volumen" => "19" "numero" => "7" ] ] ] ] ] ] 28 => array:3 [ "identificador" => "bib0028" "etiqueta" => "Gruber and Hargittai, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The importance of algorithm skills for informed Internet use" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/20539517231168100" "Revista" => array:5 [ "tituloSerie" => "Big Data & Society" "fecha" => "2023" "volumen" => "10" "numero" => "1" "link" => array:1 [ …1] ] ] ] ] ] ] 29 => array:3 [ "identificador" => "bib0030" "etiqueta" => "Hamutoglu, Gemikonakli, De Raffaele and Gezgin, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparative Cross-Cultural Study in Digital Literacy" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.14689/ejer.2020.88.6" "Revista" => array:5 [ "tituloSerie" => "Eurasian Journal of Educational Research" "fecha" => "2020" "volumen" => "88" "paginaInicial" => "121" "paginaFinal" => "147" ] ] ] ] ] ] 30 => array:3 [ "identificador" => "bib0031" "etiqueta" => "Hargittai et al., 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Black box measures? How to study people's algorithm skills. Information" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/1369118x.2020.1713846" "Revista" => array:7 [ "tituloSerie" => "Communication & Society" "fecha" => "2020" "volumen" => "23" "numero" => "5" "paginaInicial" => "764" "paginaFinal" => "775" "link" => array:1 [ …1] ] ] ] ] ] ] 31 => array:3 [ "identificador" => "bib0032" "etiqueta" => "Hristidis et al., 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2196/48966" "Revista" => array:5 [ "tituloSerie" => "Journal of Medical Internet Research" "fecha" => "2023" "volumen" => "25" "paginaInicial" => "e48966" "link" => array:1 [ …1] ] ] ] ] ] ] 32 => array:3 [ "identificador" => "bib0033" "etiqueta" => "Hasija and Esper, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "In artificial intelligence (AI) we trust: A qualitative investigation of AI technology acceptance" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1111/jbl.12301" "Revista" => array:6 [ "tituloSerie" => "Journal of Business Logistics" "fecha" => "2022" "volumen" => "43" "numero" => "3" "paginaInicial" => "388" "paginaFinal" => "412" ] ] ] ] ] ] 33 => array:3 [ "identificador" => "bib0034" "etiqueta" => "Heitin, 2016" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital literacy: An evolving definition" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Education Week" "fecha" => "2016" "volumen" => "36" "numero" => "12" "paginaInicial" => "5" "paginaFinal" => "6" ] ] ] ] ] ] 34 => array:3 [ "identificador" => "bib0035" "etiqueta" => "Henkel, Linn and van der Goot, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Understanding the intention to use mental health chatbots among LGBTQIA+ individuals: Testing and extending the UTAUT" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/978-3-031-25581-6_6" "Libro" => array:6 [ "titulo" => "International workshop on chatbot research and design" "fecha" => "2022" "paginaInicial" => "83" "paginaFinal" => "100" "editorial" => "Springer International Publishing" "editorialLocalizacion" => "Cham" ] ] ] ] ] ] 35 => array:3 [ "identificador" => "bib0036" "etiqueta" => "Hosseini, Gao, Liebovitz and Carvalho, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "An exploratory survey about using ChatGPT in education, healthcare, and research" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1101/2023.03.31.23287979" "Revista" => array:4 [ "tituloSerie" => "Plos one" "fecha" => "2023" "volumen" => "18" "numero" => "10" ] ] ] ] ] ] 36 => array:3 [ "identificador" => "bib0037" "etiqueta" => "Hua, Jin and Jiang, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The limitations and ethical considerations of chatgpt" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1162/dint_a_00243" "Revista" => array:6 [ "tituloSerie" => "Data intelligence" "fecha" => "2024" "volumen" => "6" "numero" => "1" "paginaInicial" => "201" "paginaFinal" => "239" ] ] ] ] ] ] 37 => array:3 [ "identificador" => "bib0038" "etiqueta" => "Huang, Coleman, Gachago and Van Belle, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Using ChatGPT to Encourage Critical AI Literacy Skills and for Assessment in Higher Education" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:1 [ "LibroEditado" => array:4 [ "titulo" => "Annual Conference of the Southern African Computer Lecturers' Association" "paginaInicial" => "105" "paginaFinal" => "118" "serieFecha" => "2023" ] ] ] ] ] ] 38 => array:3 [ "identificador" => "bib0039" "etiqueta" => "Hyatt, 2018" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Hyatt, J. (2018). World Economic Forum. Here's the 8 types of Artificial Intelligence, and what you should know about them. Available at: <a target="_blank" href="https://www.weforum.org/agenda/2018/11/chatbots-without-a-cause-why-conversational-ai-wont-work-without-purpose/">https://www.weforum.org/agenda/2018/11/chatbots-without-a-cause-why-conversational-ai-wont-work-without-purpose/</a>." ] ] ] 39 => array:3 [ "identificador" => "bib0043" "etiqueta" => "Ilieska, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Frankenstein is about ChatGPT: Thinking and the Future of Literary Study in the Age of Generative AI" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.13133/2239-1983/18773" "Revista" => array:3 [ "tituloSerie" => "Status Quaestionis" "fecha" => "2024" "numero" => "26" ] ] ] ] ] ] 40 => array:3 [ "identificador" => "bib0045" "etiqueta" => "Iswahyudi et al., 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Use of ChatGPT as a decision support tool in human resource management" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.33395/jmp.v12i1.12869" "Revista" => array:6 [ "tituloSerie" => "Jurnal Minfo Polgan" "fecha" => "2023" "volumen" => "12" "numero" => "1" "paginaInicial" => "1522" "paginaFinal" => "1532" ] ] ] ] ] ] 41 => array:3 [ "identificador" => "bib0046" "etiqueta" => "Javaid, Haleem, & Singh, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ject.2023.08.001" "Revista" => array:5 [ "tituloSerie" => "Journal of Economy and Technology" "fecha" => "2022" "volumen" => "1" "paginaInicial" => "127" "paginaFinal" => "143" ] ] ] ] ] ] 42 => array:3 [ "identificador" => "bib0047" "etiqueta" => "Kappeler, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A Longitudinal Perspective on Digital Skills for Everyday Life" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.17645/mac.8159" "Revista" => array:5 [ "tituloSerie" => "Measurement and Empirical Evidence. Media and Communication" "fecha" => "2024" "volumen" => "12" "paginaInicial" => "1" "paginaFinal" => "18" ] ] ] ] ] ] 43 => array:3 [ "identificador" => "bib0048" "etiqueta" => "Khan, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A multidimensional approach towards addressing existing and emerging challenges in the use of ChatGPT" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2139/ssrn.4440618" "Revista" => array:4 [ "tituloSerie" => "AI and Ethics" "fecha" => "2023" "paginaInicial" => "1" "paginaFinal" => "7" ] ] ] ] ] ] 44 => array:3 [ "identificador" => "bib0049" "etiqueta" => "Knight, Dooly and Barberà, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Getting smart: Towards critical digital literacy pedagogies" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/10350330.2020.1836815" "Revista" => array:6 [ "tituloSerie" => "Social Semiotics" "fecha" => "2023" "volumen" => "33" "numero" => "2" "paginaInicial" => "326" "paginaFinal" => "349" ] ] ] ] ] ] 45 => array:3 [ "identificador" => "bib0050" "etiqueta" => "Kozyreva, Lewandowsky and Hertwig, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Citizens versus the internet: Confronting digital challenges with cognitive tools" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.31234/osf.io/ky4x8" "Revista" => array:7 [ "tituloSerie" => "Psychological Science in the Public Interest" "fecha" => "2020" "volumen" => "21" "numero" => "3" "paginaInicial" => "103" "paginaFinal" => "156" "link" => array:1 [ …1] ] ] ] ] ] ] 46 => array:3 [ "identificador" => "bib0051" "etiqueta" => "Khalil et al., 2017" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Learning combinatorial optimization algorithms over graphs" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.48550/arXiv.1704.01665" "Revista" => array:3 [ "tituloSerie" => "Advances in neural information processing systems" "fecha" => "2017" "volumen" => "30" ] ] ] ] ] ] 47 => array:3 [ "identificador" => "bib0053" "etiqueta" => "Kim, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A study on the intentions of ChatGPT users using the extended UTAUT model" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.9728/dcs.2023.24.7.1465" "Revista" => array:6 [ "tituloSerie" => "Journal of Digital Contents Society" "fecha" => "2023" "volumen" => "24" "numero" => "7" "paginaInicial" => "1465" "paginaFinal" => "1473" ] ] ] ] ] ] 48 => array:3 [ "identificador" => "bib0054" "etiqueta" => "Kim, Kim, Kim and Park, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jretconser.2023.103494" "Revista" => array:3 [ "tituloSerie" => "Journal of Retailing and Consumer Services" "fecha" => "2023" "volumen" => "75" ] ] ] ] ] ] 49 => array:3 [ "identificador" => "bib0055" "etiqueta" => "Knoth, Tolzin, Janson and Leimeister, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "AI literacy and its implications for prompt engineering strategies" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.caeai.2024.100225" "Revista" => array:3 [ "tituloSerie" => "Computers and Education: Artificial Intelligence" "fecha" => "2024" "volumen" => "6" ] ] ] ] ] ] 50 => array:3 [ "identificador" => "bib0056" "etiqueta" => "Koc and Barut, 2016" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Development and validation of New Media Literacy Scale (NMLS) for university students" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.chb.2016.06.035" "Revista" => array:5 [ "tituloSerie" => "Computers in human behavior" "fecha" => "2016" "volumen" => "63" "paginaInicial" => "834" "paginaFinal" => "843" ] ] ] ] ] ] 51 => array:3 [ "identificador" => "bib0057" "etiqueta" => "Laupichler et al., 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Large language models in medical education: Comparing ChatGPT-to human-generated exam questions" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1097/acm.0000000000005626" "Revista" => array:7 [ "tituloSerie" => "Academic Medicine" "fecha" => "2024" "volumen" => "99" "numero" => "5" "paginaInicial" => "508" "paginaFinal" => "512" "link" => array:1 [ …1] ] ] ] ] ] ] 52 => array:3 [ "identificador" => "bib0058" "etiqueta" => "Leaning, 2019" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "An approach to digital literacy through the integration of media and information literacy" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.17645/mac.v7i2.1931" "Revista" => array:6 [ "tituloSerie" => "Media and communication" "fecha" => "2019" "volumen" => "7" "numero" => "2" "paginaInicial" => "4" "paginaFinal" => "13" ] ] ] ] ] ] 53 => array:3 [ "identificador" => "bib0059" "etiqueta" => "Lee and Bae, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The Relationship between Smartphone Use Motives, Social Capital, Digital Literacy, and Life Satisfaction in Elderly Koreans" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.18502/ijph.v52i12.14316" "Revista" => array:6 [ "tituloSerie" => "Iranian Journal of Public Health" "fecha" => "2023" "volumen" => "52" "numero" => "12" "paginaInicial" => "2554" "link" => array:1 [ …1] ] ] ] ] ] ] 54 => array:3 [ "identificador" => "bib0060" "etiqueta" => "Lee, Bubeck and Petro, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1056/nejmc2305286" "Revista" => array:7 [ "tituloSerie" => "New England Journal of Medicine" "fecha" => "2023" "volumen" => "388" "numero" => "13" "paginaInicial" => "1233" "paginaFinal" => "1239" "link" => array:1 [ …1] ] ] ] ] ] ] 55 => array:3 [ "identificador" => "bib0061" "etiqueta" => "Lee and Park, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Reexamining review variance and movie sales: The inverted-U-shaped relationship and boundary conditions" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/intr-08-2021-0536" "Revista" => array:6 [ "tituloSerie" => "Internet Research" "fecha" => "2024" "volumen" => "34" "numero" => "4" "paginaInicial" => "1427" "paginaFinal" => "1455" ] ] ] ] ] ] 56 => array:3 [ "identificador" => "bib0063" "etiqueta" => "Lee, Jung and Jeon, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Few-shot is enough: exploring ChatGPT prompt engineering method for automatic question generation in english education" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s10639-023-12249-8" "Revista" => array:5 [ "tituloSerie" => "Educ Inf Technol" "fecha" => "2024" "volumen" => "29" "paginaInicial" => "11483" "paginaFinal" => "11515" ] ] ] ] ] ] 57 => array:3 [ "identificador" => "bib0065" "etiqueta" => "Lingyan, Mawenge, Rani and Patil, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Study on relationship between personal financial planning and financial literacy to stimulate economic advancement" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s10479-021-04278-8" "Revista" => array:3 [ "tituloSerie" => "Annals of Operations Research" "fecha" => "2021" "volumen" => "1–21" ] ] ] ] ] ] 58 => array:3 [ "identificador" => "bib0066" "etiqueta" => "Lund, Agbaji and Teel, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Information literacy, data literacy, privacy literacy, and ChatGPT: Technology literacies align with perspectives on emerging technology adoption within communities" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.14254/1795-6889.2023.19-2.2" "Revista" => array:6 [ "tituloSerie" => "Human Technology" "fecha" => "2023" "volumen" => "19" "numero" => "2" "paginaInicial" => "163" "paginaFinal" => "177" ] ] ] ] ] ] 59 => array:3 [ "identificador" => "bib0067" "etiqueta" => "Maida, Moccia and Palladino, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT vs. neurologists: A cross-sectional study investigating preference, satisfaction ratings and perceived empathy in responses among people living with multiple sclerosis" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1007/s00415-024-12328-x" "Revista" => array:6 [ "tituloSerie" => "Journal of Neurology" "fecha" => "2024" "volumen" => "271" "paginaInicial" => "4057" "paginaFinal" => "4066" "link" => array:1 [ …1] ] ] ] ] ] ] 60 => array:3 [ "identificador" => "bib0068" "etiqueta" => "Manca, Bocconi and Gleason, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Think globally, act locally”: A glocal approach to the development of social media literacy" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s40792-024-02051-0" "Revista" => array:4 [ "tituloSerie" => "Computers & Education" "fecha" => "2021" "volumen" => "160" "link" => array:1 [ …1] ] ] ] ] ] ] 61 => array:3 [ "identificador" => "bib0069" "etiqueta" => "Madrigal and Escoffery, 2019" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Electronic health behaviors among us adults with chronic disease: Cross-sectional survey" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2196/11240" "Revista" => array:6 [ "tituloSerie" => "Journal of Medical Internet Research" "fecha" => "2019" "volumen" => "21" "numero" => "3" "paginaInicial" => "e11240" "link" => array:1 [ …1] ] ] ] ] ] ] 62 => array:3 [ "identificador" => "bib0070" "etiqueta" => "Martínez-Alcalá et al., 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The effects of Covid-19 on the digital literacy of the elderly: Norms for digital inclusion" "autores" => array:1 [ 0 => array:2 [ …2] ] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3389/feduc.2021.716025" "Revista" => array:3 [ "tituloSerie" => "Frontiers in Education" "fecha" => "2021" "volumen" => "6" ] ] ] ] ] ] 63 => array:3 [ "identificador" => "bib0071" "etiqueta" => "Masoomi et al., 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Significant Predictors Influencing the Adoption of ChatGPT Usage in the Academia in Sindh, Pakistan: Extension of UTAUT Model" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.47750/pegegog.14.04.14" "Revista" => array:6 [ …6] ] ] ] ] ] 64 => array:3 [ "identificador" => "bib0072" "etiqueta" => "Maurya, Montesinos, Bogomaz and DeDiego, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Assessing the use of ChatGPT as a psychoeducational tool for mental health practice" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.31234/osf.io/aetdr" "Revista" => array:2 [ …2] ] ] ] ] ] 65 => array:3 [ "identificador" => "bib0073" "etiqueta" => "McIntyre, Hauser and Kusztor, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The language of social touch is intuitive and quantifiable" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/09567976211059801" "Revista" => array:7 [ …7] ] ] ] ] ] 66 => array:3 [ "identificador" => "bib0074" "etiqueta" => "Menon and Shilpa, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chatting with ChatGPT: Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.heliyon.2023.e20962" "Revista" => array:4 [ …4] ] ] ] ] ] 67 => array:3 [ "identificador" => "bib0075" "etiqueta" => "Mogaji, Balakrishnan, Nwoba and Nguyen, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Emerging-market consumers’ interactions with banking chatbots" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.tele.2021.101711" "Revista" => array:3 [ …3] ] ] ] ] ] 68 => array:3 [ "identificador" => "bib0076" "etiqueta" => "Moravec, Hynek, Gavurova and Kubak, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Everyday artificial intelligence unveiled: Societal awareness of technological transformation" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.24136/oc.2961" "Revista" => array:6 [ …6] ] ] ] ] ] 69 => array:3 [ "identificador" => "bib0077" "etiqueta" => "Morgan, Sibson and Jackson, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital demand and digital deficit: Conceptualising digital literacy and gauging proficiency among higher education students" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/1360080x.2022.2030275" "Revista" => array:6 [ …6] ] ] ] ] ] 70 => array:3 [ "identificador" => "bib0078" "etiqueta" => "Nickerson, Varshney and Muntermann, 2013" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A method for taxonomy development and its application in information systems" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1057/ejis.2012.26" "Revista" => array:6 [ …6] ] ] ] ] ] 71 => array:3 [ "identificador" => "bib0079" "etiqueta" => "Nikitenko, Voronkova and Kaganov, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Formation Of A Model Of Information Literacy In The Digital Economy Of The Xxi Century (On The Example Of Eu Countries)" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.30525/2256-0742/2024-10-1-201-209" "Revista" => array:6 [ …6] ] ] ] ] ] 72 => array:3 [ "identificador" => "bib0080" "etiqueta" => "Nikghalb and Cheng, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.48550/arXiv.2401.08405" "Revista" => array:2 [ …2] ] ] ] ] ] 73 => array:3 [ "identificador" => "bib0081" "etiqueta" => "Oh et al., 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Measurement of digital literacy among older adults: Systematic review" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2196/26145" "Revista" => array:6 [ …6] ] ] ] ] ] 74 => array:3 [ "identificador" => "bib0082" "etiqueta" => "Pangrazio and Selwyn, 2019" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/1461444818799523" "Revista" => array:7 [ …7] ] ] ] ] ] 75 => array:3 [ "identificador" => "bib0083" "etiqueta" => "Pangrazio, Godhe and Ledesma, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "What is digital literacy? A comparative review of publications across three language contexts" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/2042753020946291" "Revista" => array:6 [ …6] ] ] ] ] ] 76 => array:3 [ "identificador" => "bib0084" "etiqueta" => "Park, Kim and Park, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A scientometric study of digital literacy, ICT literacy, information literacy, and media literacy" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2478/jdis-2021-0001" "Revista" => array:6 [ …6] ] ] ] ] ] 77 => array:3 [ "identificador" => "bib0086" "etiqueta" => "Park et al., 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Generative agents: Interactive simulacra of human behavior" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1145/3586183.3606763" "LibroEditado" => array:4 [ …4] ] ] ] ] ] 78 => array:3 [ "identificador" => "bib0087" "etiqueta" => "Rakap, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chatting with GPT: Enhancing individualized education program goal development for novice special education teachers" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/01626434231211295" "Revista" => array:6 [ …6] ] ] ] ] ] 79 => array:3 [ "identificador" => "bib0088" "etiqueta" => "Ray, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.iotcps.2023.04.003" "Revista" => array:5 [ …5] ] ] ] ] ] 80 => array:3 [ "identificador" => "bib0089" "etiqueta" => "Reddy, Sharma and Chaudhary, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital literacy: A review of literature" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.4018/IJT.20200701.oa1" "Revista" => array:6 [ …6] ] ] ] ] ] 81 => array:3 [ "identificador" => "bib0091" "etiqueta" => "Rice, Crouse, Winter and Rice, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The advantages and limitations of using ChatGPT to enhance technological research" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2139/ssrn.4416080" "Revista" => array:3 [ …3] ] ] ] ] ] 82 => array:3 [ "identificador" => "bib0092" "etiqueta" => "Sebastian and Sebastian Sr, 2023" "referencia" => array:1 [ 0 => array:1 [ "referenciaCompleta" => "Sebastian, G., & Sebastian Sr, R. (2023). Exploring ethical implications of ChatGPT and other AI chatbots and regulation of disinformation propagation, 1–16. <a target="_blank" href="http://10.2139/ssrn.4461801">10.2139/ssrn.4461801</a>." ] ] ] 83 => array:3 [ "identificador" => "bib0094" "etiqueta" => "Schradie, 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The great equalizer reproduces inequality: How the digital divide is a class power divide" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/s0198-871920200000037005" "LibroEditado" => array:5 [ …5] ] ] ] ] ] 84 => array:3 [ "identificador" => "bib0090" "etiqueta" => "Shihab, Sultana and Samad, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Revisiting the use of ChatGPT in Business and Educational Fields: Possibilities and Challenges" "autores" => array:1 [ …1] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:6 [ …6] ] 1 => array:1 [ "WWW" => array:1 [ …1] ] ] ] ] ] 85 => array:3 [ "identificador" => "bib0095" "etiqueta" => "Smith et al., 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Old dog, new tricks? Exploring the potential functionalities of ChatGPT in supporting educational methods in social psychiatry" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/00207640231178451" "Revista" => array:6 [ …6] ] ] ] ] ] 86 => array:3 [ "identificador" => "bib0097" "etiqueta" => "Shanto, Ahmed and Jony, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Enriching Learning Process with Generative AI: A Proposed Framework to Cultivate Critical Thinking in Higher Education using Chat GPT" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.52783/tjjpt.v45.i01.4680" "Revista" => array:6 [ …6] ] ] ] ] ] 87 => array:3 [ "identificador" => "bib0098" "etiqueta" => "Sharma and Yadav, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Chat GPT–A technological remedy or challenge for education system" "autores" => array:1 [ …1] ] ] "host" => array:2 [ 0 => array:1 [ "Revista" => array:6 [ …6] ] 1 => array:1 [ "WWW" => array:1 [ …1] ] ] ] ] ] 88 => array:3 [ "identificador" => "bib0099" "etiqueta" => "Shidiq, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The use of artificial intelligence-based chat-gpt and its challenges for the world of education; from the viewpoint of the development of creative writing skills" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:1 [ "LibroEditado" => array:5 [ …5] ] ] ] ] ] 89 => array:3 [ "identificador" => "bib0100" "etiqueta" => "Schreurs, Quan-Haase and Martin, 2017" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Problematizing the digital literacy paradox in the context of older adults’ ICT use: Aging, media discourse, and self-determination" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.22230/cjc.2017v42n2a3130" "Revista" => array:6 [ …6] ] ] ] ] ] 90 => array:3 [ "identificador" => "bib0101" "etiqueta" => "Skjuve, Følstad, Fostervold and Brandtzaeg, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "A longitudinal study of human–chatbot relationships" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ijhcs.2022.102903" "Revista" => array:3 [ …3] ] ] ] ] ] 91 => array:3 [ "identificador" => "bib0102" "etiqueta" => "Sudan, Hans and Taggar, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Transformative learning with ChatGPT: Analyzing adoption trends and implications for business management students in India" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/itse-10-2023-0202" "Revista" => array:2 [ …2] ] ] ] ] ] 92 => array:3 [ "identificador" => "bib0103" "etiqueta" => "Sun, Liu and Lu, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital Literacy in Africa: Exploring its Relationship with Infrastructure, Policy, and Social Inequality" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/23743670.2024.2329705" "Revista" => array:6 [ …6] ] ] ] ] ] 93 => array:3 [ "identificador" => "bib0096" "etiqueta" => "Sundar and Liao, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Calling BS on ChatGPT: Reflections on AI as a communication source" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/15226379231167135" "Revista" => array:7 [ …7] ] ] ] ] ] 94 => array:3 [ "identificador" => "bib0104" "etiqueta" => "Talib, 2018" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Social media pedagogy: Applying an interdisciplinary approach to teach multimodal critical digital literacy" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/2042753018756904" "Revista" => array:6 [ …6] ] ] ] ] ] 95 => array:3 [ "identificador" => "bib0105" "etiqueta" => "Thatcher, 2009" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Understanding digital literacy across cultures" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:1 [ "Libro" => array:5 [ …5] ] ] ] ] ] 96 => array:3 [ "identificador" => "bib0106" "etiqueta" => "Tinmaz, Lee and Fanea-Ivanovici, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Asystematic review on digital literacy" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1186/s40561-022-00204-y" "Revista" => array:4 [ …4] ] ] ] ] ] 97 => array:3 [ "identificador" => "bib0107" "etiqueta" => "Tinmaz, Lee and Fanea-Ivanovici, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Asystematic review on digital literacy" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1344/der.2022.41.224-248" "Revista" => array:4 [ …4] ] ] ] ] ] 98 => array:3 [ "identificador" => "bib0108" "etiqueta" => "Tiwari et al., 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/itse-04-2023-0061" "Revista" => array:6 [ …6] ] ] ] ] ] 99 => array:3 [ "identificador" => "bib0109" "etiqueta" => "Tran and Tran, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Exploring the Role of ChatGPT in Developing Critical Digital Literacies in Language Learning: A Qualitative Study" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.54855/paic.2341" "LibroEditado" => array:5 [ …5] ] ] ] ] ] 100 => array:3 [ "identificador" => "bib0110" "etiqueta" => "Valtolina et al., 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Extended UTAUT model to analyze the acceptance of virtual assistant's recommendations using interactive visualisations" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1145/3531073.3531129" "LibroEditado" => array:4 [ …4] ] ] ] ] ] 101 => array:3 [ "identificador" => "bib0111" "etiqueta" => "Vasilescu et al., 2020" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital divide, skills and perceptions on digitalisation in the European Union—Towards a smart labour market" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1371/journal.pone.0232032" "Revista" => array:4 [ …4] ] ] ] ] ] 102 => array:3 [ "identificador" => "bib0112" "etiqueta" => "Van Deursen, Helsper and Eynon, 2016" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Development and validation of the Internet Skills Scale (ISS)" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1080/1369118x.2015.1078834" "Revista" => array:7 [ …7] ] ] ] ] ] 103 => array:3 [ "identificador" => "bib0113" "etiqueta" => "Van Laar, Van Deursen, Van Dijk and De Haan, 2020a" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1177/2158244019900176" "Revista" => array:4 [ …4] ] ] ] ] ] 104 => array:3 [ "identificador" => "bib0114" "etiqueta" => "Van Laar, Van Deursen, Van Dijk and De Haan, 2020b" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Measuring the levels of 21st-century digital skills among professionals working within the creative industries: A performance-based approach" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.poetic.2020.101434" "Revista" => array:4 [ …4] ] ] ] ] ] 105 => array:3 [ "identificador" => "bib0115" "etiqueta" => "Van Laar, Van Deursen, Van Dijk and De Haan, 2017" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The relation between 21st-century skills and digital skills: A systematic literature review" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.chb.2017.03.010" "Revista" => array:5 [ …5] ] ] ] ] ] 106 => array:3 [ "identificador" => "bib0116" "etiqueta" => "Van Erp and Toet, 2015" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Social touch in human–computer interaction" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.3389/fdigh.2015.00002" "Revista" => array:4 [ …4] ] ] ] ] ] 107 => array:3 [ "identificador" => "bib0117" "etiqueta" => "Watt, 2019" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Video production in elementary teacher education as a critical digital literacy practice" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.17645/mac.v7i2.1967" "Revista" => array:6 [ …6] ] ] ] ] ] 108 => array:3 [ "identificador" => "bib0118" "etiqueta" => "Venkatesh, Morris, Davis and Davis, 2003" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "User acceptance of information technology: Toward a unified view" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2307/30036540" "Revista" => array:4 [ …4] ] ] ] ] ] 109 => array:3 [ "identificador" => "bib0119" "etiqueta" => "Weninger, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Digital literacy as ideological practice" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/elt/ccad001" "Revista" => array:6 [ …6] ] ] ] ] ] 110 => array:3 [ "identificador" => "bib0120" "etiqueta" => "Wei et al., 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.jbi.2024.104620" "Revista" => array:3 [ …3] ] ] ] ] ] 111 => array:3 [ "identificador" => "bib0121" "etiqueta" => "Whalen and Mouza, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT: Challenges, opportunities, and implications for teacher education" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ …6] ] ] ] ] ] 112 => array:3 [ "identificador" => "bib0122" "etiqueta" => "Wolf and Maier, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "ChatGPT usage in everyday life: A motivation-theoretic mixed-methods study" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ijinfomgt.2024.102821" "Revista" => array:3 [ …3] ] ] ] ] ] 113 => array:3 [ "identificador" => "bib0123" "etiqueta" => "Wuyckens, Landry and Fastrez, 2022" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Untangling media literacy, information literacy, and digital literacy: A systematic meta-review of core concepts in media education" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.23860/jmle-2022-14-1-12" "Revista" => array:6 [ …6] ] ] ] ] ] 114 => array:3 [ "identificador" => "bib0124" "etiqueta" => "Wu and Shi, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "The Importance and Development Trend of Teacher Digital Literacy in Vocational Undergraduate Education" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.23977/avte.2024.060123" "Revista" => array:6 [ …6] ] ] ] ] ] 115 => array:3 [ "identificador" => "bib0125" "etiqueta" => "Wulandari, Nurhaipah and Ohorella, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Perceived ease of use, social influencers, facilitating conditions, user experience on the influence of human-machine interaction on interaction efficiency, emotional impact of using chat GPT" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.35760/dimedcom.2023.v2i2.9898" "Revista" => array:6 [ …6] ] ] ] ] ] 116 => array:3 [ "identificador" => "bib0128" "etiqueta" => "Xie, Zhao, Deng and He, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1093/jamia/ocae100" "Revista" => array:3 [ …3] ] ] ] ] ] 117 => array:3 [ "identificador" => "bib0129" "etiqueta" => "Yang and Wang, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Factors influencing initial public acceptance of integrating the ChatGPT-type model with government services" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1108/k-06-2023-1011" "Revista" => array:2 [ …2] ] ] ] ] ] 118 => array:3 [ "identificador" => "bib0130" "etiqueta" => "Yoo, 2021" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Empowering Older Adults: Improving Senior Digital Literacy" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:3 [ …3] ] ] ] ] ] 119 => array:3 [ "identificador" => "bib0131" "etiqueta" => "Zapletal, Wells, Russell and Skinner, 2023" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "On the triple exclusion of older adults during COVID-19: Technology, digital literacy and social isolation" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.1016/j.ssaho.2023.100511" "Revista" => array:5 [ …5] ] ] ] ] ] 120 => array:3 [ "identificador" => "bib0126" "etiqueta" => "Zarifhonarvar, 2024" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Economics of chatgpt: A labor market view on the occupational impact of artificial intelligence" "autores" => array:1 [ …1] ] ] "host" => array:1 [ 0 => array:2 [ "doi" => "10.2139/ssrn.4350925" "Revista" => array:7 [ …7] ] ] ] ] ] ] ] ] ] "agradecimientos" => array:1 [ 0 => array:4 [ "identificador" => "xack786527" "titulo" => "Acknowledgements" "texto" => "<p id="para0094" class="elsevierStylePara elsevierViewall">This article was produced with the support of the Technology Agency of the Czech Republic under the SIGMA Programme, project TQ01000100 Newsroom AI: public service in the era of automated journalism and by the Institutional support by <span class="elsevierStyleGrantSponsor" id="gs0001">Charles University</span>, Program Cooperatio (IPS FSV). This research was funded by the <span class="elsevierStyleGrantSponsor" id="gs0002">Ministry of Education</span>, Research, Development and Youth of the Slovak Republic and the Slovak Academy of Sciences, VEGA No. 1/0554/24.</p>" "vista" => "all" ] ] ] "idiomaDefecto" => "en" "url" => "/2444569X/0000000900000004/v29_202411040451/S2444569X24001410/v29_202411040451/en/main.assets" "Apartado" => null "PDF" => "https://static.elsevier.es/multimedia/2444569X/0000000900000004/v29_202411040451/S2444569X24001410/v29_202411040451/en/main.pdf?idApp=UINPBA00004N&text.app=https://www.elsevier.es/" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S2444569X24001410?idApp=UINPBA00004N" ]
| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 16 | 3 | 19 |