Sürdürülebilir Kalkınma Amaçları

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• MakaleYalnız künye2026Scopus SJRQ1/r/munzur/1463
  Exploring research themes in the Journal of Librarianship and Information Science: Insights from topic modelings

  Aslan, Alper; Özyurt, Özcan

  This study aims to explore research interests and trends in the journal by analyzing the entire publication history of the Journal of Library and Information Science (JoLIS) between 1969 and 2023 using Latent Dirichlet Allocation (LDA). A comprehensive topic modeling analysis was conducted on 1437 articles for which titles, abstracts and keywords were available. The research focuses on identifying key thematic shifts in the journal’s publications. The findings highlight that topics such as Information Literacy & Research and Librarian Roles & Skills are growing in importance, while traditional topics such as Cataloging & Classification are declining. The results reveal shifts in the focus of the LIS field, providing critical insights to guide future research. In particular, Information Literacy & Research emerges as a highly accelerating topic, reflecting the need for digital competencies in response to evolving information environments. Meanwhile, declining interest in Cataloging & Classification is in line with the automation of traditional library functions, shifting training priorities toward digital literacy and data management skills. By mapping the evolution of research priorities, this study serves as a valuable resource for LIS researchers and practitioners, helping them to align their work with future developments in the field.

  AtıfScopus9·WoS7·OpenAlex11

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• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/1293
  Technology Acceptance in Sustainable Distance Education

  Akti Aslan, Seda; Çekmez, Erdem; Ayaz, Ahmet; Özyurt, Özcan; Aslan, Alper

  This study aims to examine the thematic structure and temporal evolution of the literature on technology acceptance in distance education using the Structural Topic Modeling method. Peer-reviewed articles indexed in the Scopus database between 2016 and 2025 were included in the analysis, yielding 18 consistent thematic clusters. Technology Acceptance Model (TAM) Core Constructs and Structural Equation Modeling (SEM)/Partial Least Squares (PLS) Methodology emerged as the most prevalent themes, reflecting the field’s sustained reliance on quantitative model-testing approaches. Trend analyses revealed a pronounced decline in TAM Core Constructs, while Unified Theory of Acceptance and Use of Technology (UTAUT) and Extensions, Hybrid and Emergency Remote Teaching, and Mobile and AI Applications demonstrated significant upward trends. The period comparison showed that pandemic-related themes became markedly prominent in the 2021–2025 period. Topic correlation analysis indicated the presence of competing temporal niches within the literature. Taken together, the findings suggest that research on technology acceptance in distance education is undergoing a structural transition from single-framework TAM dominance toward a multi-model, context-sensitive research paradigm. These findings carry important implications for the sustainable development of technology-enhanced distance education ecosystems and offer evidence-based guidance for researchers and policymakers committed to building inclusive and adaptive educational systems.

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• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/1130
  Generative Artificial Intelligence in Education: Conceptual Dimensions, Trends, and Research Directions

  Akti Aslan, Seda; Ayaz, Ahmet; Ozyurt, Ozcan; Aslan, Alper

  Research into generative artificial intelligence (GenAI) in the field of education has been growing rapidly in recent years. The rapid expansion of the literature has necessitated a systematic examination of the field. In this study, the thematic structure of GenAI research in the field of education during the 2023–2025 period was examined. Given the need to work with a large-scale dataset comprising 15,036 studies, a Latent Dirichlet Allocation (LDA)-based topic modelling analysis was selected. A search conducted on Scopus resulted in the inclusion of 15,036 studies in the analysis. The LDA analysis identified 12 prominent topics based on consistency scores. Descriptively, these prominent topics were grouped under four broad thematic areas. Among these axes, the technical axis holds the largest share (25%). It was observed that whilst technical topics were on the rise during the 2023–2025 period, topics such as ethics and chatbots showed a relative downward trend. The observed trends suggest that scholarly attention is increasingly directed towards technically oriented research. The findings also indicate a need for theoretical frameworks to ensure pedagogical depth. It is anticipated that the study’s findings will serve as an important reference point for future research. © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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• EditoryalAçık Erişim2026Scopus SJRQ1/r/munzur/972
  Recirculating Foundational Problems: Four Decades of Educational Computing in the JECR Archive (1987–2024)

  Aslan, Alper; Akti Aslan, Seda; Turgut, Yiğit Emrah; Allison, Jordan; Özyurt, Özcan

  This editorial presents a structured synthesis of the thematic development of the Journal of Educational Computing Research (JECR) from 1987 to 2024, drawing on a computational analysis of 1,597 articles. Applying Latent Dirichlet Allocation (LDA), the analysis identifies thirteen thematic structures that reveal both the enduring commitments and the emerging orientations of the journal across nearly four decades. Themes such as problem-solving through programming and self-efficacy in programming education have constituted persistent research agendas since the journal’s earliest volumes, while computational thinking and game-based learning have gained substantial momentum since 2015. These patterns suggest that JECR’s intellectual identity is best understood not as a sequence of discrete topical shifts, but as a sustained process in which a bounded set of foundational problems is repeatedly re-articulated under changing technological and epistemic conditions. The editorial situates this trajectory in relation to contemporary developments in artificial intelligence and educational technology, arguing that the journal’s historical archive offers an indispensable conceptual framework for interpreting present-day transformations.

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  AtıfScopus1·OpenAlex1

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• MakaleYayıncıda açık erişim2026Scopus SJRQ1/r/munzur/895
  Thematic Structure of Pedagogical Agent Studies: LDA Analysis for the Period 2020–2025

  Turgut, Yigit Emrah; Aktı Aslan, Seda; Kopuz, Tuba; Aslan, Alper; Allison, Jordan; Özyurt, Özcan

  This study examines 2,360 pedagogical agent (PA) articles published between 2020 and 2025 to identify thematic structures, trends, and research gaps through bibliometric analysis and LDA-based topic modeling. The optimal model produced 10 themes (c_v = 0.4767). The dominant themes—Learner Interaction with Virtual Assistants in Education, Student-Centred Learning and Individual Guidance, and NLP Foundations for Pedagogical Agents—account for 51.3% of publications. Trend analyses revealed consistent growth in both Artificial Intelligence and Pedagogical Design in Education and NLP Foundations for Pedagogical Agents, while Learner Interaction with Virtual Assistants in Education reached saturation. Interaction network results showed these themes at the conceptual core of the field, whereas AI-Driven Medical Chatbots, Knowledge-Based Learning Models, and Student Experiences in Intelligent Learning Environments emerged as future research areas. Overall, findings highlight a strong thematic shift toward artificial intelligence, natural language processing, and student-centered learning.

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• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/888
  Thematic Evolution of Educational Technology Research: A Large-Scale Topic Modeling Perspective

  Aslan, Alper; Aktı Aslan, Seda; Turgut, Yiğit Emrah; Allison, Jordan; Özyurt, Özcan

  This study aims to reveal the thematic evolution of the educational technology field by analyzing 17,393 articles published between 2000 and 2024 in ten leading journals using the Latent Dirichlet Allocation (LDA) based topic modeling. Based on the analysis of title, abstract, and keywords, 20 themes were identified and grouped under seven broader meta-themes such as “Teacher Professional Competence and Technology Adoption”, “Digital and Disciplinary Literacy Development”, and “Immersive and Experiential Learning Technologies”. The model achieved its highest coherence at K = 20 (c_v = 0.4091), and the stability of the thematic structure was supported through additional runs with alternative hyperparameter configurations and expert validation. The findings show that there has been a significant increase in themes such as “Technology Integration”, “Teacher Roles in Online Learning Design”, and “Technology Acceptance and Self-Efficacy” in recent years. Temporal trend and growth analyses indicate that these themes will continue to shape the research landscape in the upcoming years. This holistic approach, which overcomes the contextual limitations of traditional bibliometric analysis, makes a significant contribution to the literature by mapping the last 25 years of scholarly accumulation in educational technology.

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  AtıfScopus2·OpenAlex2

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• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/627
  The Strategic Use of Instructor Visibility in Educational Videos: An Eye-Tracking Data-Based Study

  Türel, Yalın Kılıç; Alpsülün, Mustafa; Yuruk, Süleyman Eren; Aslan, Alper; Kokoç, Mehmet; Polat, Hamza; Öztürk Akca, Cemile; Kurşun, Engin

  This study developed an exploratory heuristic decision-support framework for dynamically regulating instructor visibility in instructional videos based on learners’ eye-tracking data. Eye-movement data were collected from 40 university students using a Tobii Pro Fusion while viewing 16 explanatory and procedural instructional videos. Instructor and Learning Content Areas of Interest were analyzed using normalized eye-tracking indicators. Descriptive analyses were complemented by Wilcoxon signed-rank tests, binary logistic regression, and receiver operating characteristic (ROC) analyses. Learners allocated significantly greater visual attention to learning content than to the instructor across both video types. Logistic regression identified instructor attention percentage, visit-related metrics, and blink frequency as significant predictors of visibility decisions. ROC analysis showed that instructor attention percentage provided the highest discriminative performance, with an optimal threshold of approximately 30%. Findings suggest that instructor visibility may be particularly appropriate during introductory, summary, and conceptually demanding segments, providing empirically grounded, attention-aware guidance for adaptive instructional video interfaces.

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• MakaleAçık Erişim2025/r/munzur/6174
  Internet skills: a scale adaptation study

  Turgut, Yiğit Emrah; Reisoğlu, İlknur; Aslan, Alper; Kopuz, Tuba; Aktaş, Ayşe

  This study aims to adapt the Internet Skills Scale, originally developed by Van Deursen et al. in 2016 to the Turkish cultural context and to examine its psychometric properties. The original scale comprises 35 items across five factors. To explore the factor structure in the Turkish context, exploratory factor analysis was conducted with data from 307 internet users. The original 5-factor structure was reduced to four factors due to the analysis. It was determined that all factors explained 68.4% of the variance. Confirmatory factor analysis was conducted with 300 participants to test the suitability of the resulting 4-factor structure for Turkish culture. Confirmatory factor analysis results supported the 4-factor structure, and the fit indices indicated acceptable, good, and excellent model fit. Convergent and discriminant validity analyses were also conducted to assess construct validity, and the results were found to be within acceptable ranges. Based on the findings, the 20-item version of the scale was confirmed to be valid and reliable for use within the Turkish context.

  AtıfOpenAlex2

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• MakaleAçık Erişim2025Scopus SJRQ1/r/munzur/1806
  Unveiling 50 years of librarianship research: An innovative study using unsupervised AI techniques

  Akti Aslan, Seda; Turgut, Yiğit Emrah; Aslan, Alper; Özyurt, Özcan

  In this study, 3646 articles published in the Scopus database between 1975 and 2024 were analyzed to examine the main research themes, trends, and research gaps in the field of librarianship. Using Latent Dirichlet Allocation (LDA) implemented in Python (Gensim, spaCy, pyLDAvis), a 17-topic model with a coherence score of 0.5266 was generated. The preprocessing steps included tokenization, lemmatization, bigram/trigram construction, and the removal of both general and domain-specific stopwords. The bibliometric analysis showed that most publications were classified under Social Sciences (93%), with the USA (1961 articles) being the leading contributor. Among the identified themes, “Information, Research, and Technology” (10.59%), “Students’ Information Literacy” (9.22%), and “Information Development” (8.23%) emerged as the most prominent, while “Professional Identity and Practice” (3.37%) and “Education and Research Competency” (3.65%) were underrepresented. Trend analyses revealed that technology-related topics have accelerated significantly since 2010, reflecting the digital transformation of librarianship. In contrast, traditional themes such as “Information Development” and “Health and Medical Services” have declined in momentum. The study shows that digitalization and information literacy remain dominant in the field. In addition, it concludes that significant research gaps exist in professional identity, education, and competency development.

  AtıfScopus1·WoS1

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• MakaleYalnız künye2025Scopus SJRQ2/r/munzur/1615
  The role of technological devices in parent-children interactions: The correlated variables of children’s well-being and life satisfaction

  Kılıman, Sevinç; Ergün, Naif; Aslan, Alper; Göksu, İdris

  This study aims to examine children’s well-being and life satisfaction in terms of various variables related to parents’ and children’s problematic technology usage. Specifically, parent/child responses during their technology use and parents' phubbing and technoference behaviors were considered. The study was conducted with 185 children (8–14) and their parents (mother = 96, father = 89). The data were analyzed by performing correlation analysis, multiple regression analysis, t test, and one-way ANOVA. According to the results, there were negative correlations between children’s life satisfaction and age, children’s technological device (smartphone, computer) usage time, and children/parents responding negatively to each other when engaged in technological devices. Children’s well-being was negatively correlated to their age and children/parents responding negatively to each other when engaged in technological devices. A positive correlation was found between children’s life satisfaction and well-being as well as parents’ phubbing and technoference. According to another result, the well-being of children having their own computer was significantly higher than those who do not have a computer. Finally, children/parents responding negatively to each other when engaged in technological devices negatively predicted the children’s life satisfaction and well-being.

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  AtıfScopus5·WoS5·OpenAlex6

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