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- MakaleAçık Erişim2026Scopus SJRQ1Generative 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).
- EditoryalAçık Erişim2026Scopus SJRQ1Recirculating 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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