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SOURCE:    Pedagogy. Theory & Practice. Tambov: Gramota, 2023. № 7. P. 761-770.
SCIENTIFIC AREA:    Pedagogical Sciences
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https://doi.org/10.30853/ped20230111

Lines of research in the area of educational data mining in higher education: A theoretical review
Semyonkina Irina Arturovna, Prusakova Polina Valentinovna
Moscow Polytechnic University
Submitted: 12.05.2023
Abstract. The paper provides an overview of foreign English-language research literature on pedagogy, the aim of which is to identify the most relevant lines of research in the area of educational data mining in modern higher education. The review considers the factors that have caused the development of educational data mining (hereinafter EDM) and learning analytics (hereinafter LA) in the context of digital transformation processes in modern society. The paper discusses the potential, problems and directions of implementing EDM and LA in higher education in general, as well as in the field of academic performance and students’ behavior, educational programs development and improving the education system efficiency. Scientific novelty of the review lies in identifying the most relevant tasks for EDM research and defining advanced research directions in this area for all actors of educational process in higher education. As a result, the authors analyzed research papers on the described subject area published in the period from 2017 to 2023 and described issues related to personal data ethics and privacy in the context of EDM implementation, the relevant methods of EDM, the experience of EDM implementation in higher education.
Key words and phrases: анализ образовательных данных, аналитика обучения, высшее образование, анализ успеваемости и поведения обучающихся, субъекты образовательного процесса, этика и конфиденциальность личных данных, educational data mining, learning analytics, higher education, analytics in the field of academic performance and students’ behavior, actors of educational process, personal data ethics and privacy
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