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Analysis of institutional authors

Mellado-Moreno, Pedro CCorresponding Author
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Educational Data Mining and Predictive Modeling in the Age of Artificial Intelligence: An In-Depth Analysis of Research Dynamics

Publicated to:Computers. 14 (2): 68- - 2025-02-01 14(2), DOI: 10.3390/computers14020068

Authors: Lopez-Meneses, Eloy; Mellado-Moreno, Pedro C; Herrerias, Celia Gallardo; Pelicano-Piris, Noelia

Affiliations

Int Univ La Rioja, Fac Educ, Ave Paz 137, Logrono 26006, Spain - Author
Pablo Olavide Univ, Dept Educ & Social Psychol, Seville 41013, Spain - Author
Rey Juan Carlos Univ, Dept Educ Sci Language Culture & Arts, Paseo Artilleros S-N, Madrid 28032, Spain - Author
Univ Almeria, Dept Educ, Almeria 04120, Spain - Author

Abstract

This article provides a comprehensive analysis of the research dynamics on the use of Educational Data Mining (EDM) and predictive modeling (PM) in the era of Artificial Intelligence (AI) based on the review of 793 articles published between 2000 and 2024 in the Scopus database. The study employs bibliometric analysis and systematic literature review to identify emerging trends, methodologies, and applications in these fields. The main objective of the study is to examine the primary methodologies and innovations within AI, especially in the context of EDM and PM. It highlights how these technologies can optimize the prediction of student performance, support personalized learning, and enable timely interventions through the analysis of student data. The study also examines the role of AI in improving teaching practices, ensuring that educators maintain control over the system and minimize potential biases. Furthermore, the article addresses the ethical implications of AI implementation in education, such as privacy protection, algorithm transparency, and equity in access to learning. The findings suggest that AI has the potential to significantly improve educational outcomes and optimize student tracking, resource allocation, and the overall effectiveness of educational institutions. The responsible implementation of AI in education is emphasized to ensure inclusive and fair environments for all students.

Keywords
AArtificial intelligenceBlockchainEducational data miningExplorationFrameworkIotLanguageLearning analyticsPerformancePredictive modelingScientific productioScientific productionStudentsTechnologiesWeb

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Computers due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 82/170, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Science, Interdisciplinary Applications. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Computer Networks and Communications.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-14:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 26 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    Leadership analysis of institutional authors

    the author responsible for correspondence tasks has been Mellado Moreno, Pedro César.