Educational data mining in online learning: Data mining techniques and algorithms, factors, equity and accessibility dimensions (A systematic literature review)

Hidayah, Imalatul and Kusumawati, Ririen ORCID: https://orcid.org/0000-0001-6090-7219 (2026) Educational data mining in online learning: Data mining techniques and algorithms, factors, equity and accessibility dimensions (A systematic literature review). G-Tech: Jurnal Teknologi Terapan, 10 (01). pp. 190-205. ISSN 2623-064X

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Abstract

This Systematic Literature Review (SLR) examines the application of Educational Data Mining (EDM) in online learning from 2015 to 2025 using the PRISMA approach. Thirty-two studies were analyzed to identify the data mining techniques used, the factors analyzed, and the extent to which the literature considers the equity and accessibility dimensions. The review results indicate that EDM is widely applied to predict academic performance, identify learning behavior patterns, detect at-risk students, and analyze the use of learning resources. The dominant techniques include classification, prediction, sequence analysis, process mining, and clustering. However, the equity and accessibility aspects are rarely discussed explicitly most studies only implicitly address accessibility through digital interaction behavior, while social factors related to equity, such as learning readiness, environmental support, and the digital divide, appear in only a small proportion. Furthermore, the variety of data formats and limited course coverage limit the generalizability of the findings. Overall, this study emphasizes the need for stronger integration between educational analytics and the social dimension for EDM to more effectively support equitable distribution of quality and access to online learning.

Item Type:	Journal Article
Keywords:	educational data mining; learning analytics; online learning; e-learning; systematic literature review
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified 13 EDUCATION > 1303 Specialist Studies In Education > 130306 Educational Technology and Computing 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing
Divisions:	Graduate Schools > Magister Programme > Graduate School of Informatics Engineering
Depositing User:	Ririen Kusumawati
Date Deposited:	26 Aug 2026 11:40

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