Fusing Self-Regulated Learning and Machine Learning to Enhance Open and Distance eLearning Systems. A systematic review

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Systematic review reveals ML enhances self-regulated learning in distance education, suggesting new paths for learner support.

Findings indicate that many studies utilize machine learning algorithms to enhance self-regulated learning strategies.
Research highlights challenges like low retention rates in open and distance elearning environments due to lack of support.
The systematic review analyzed 39 peer-reviewed articles to assess the integration of machine learning and self-regulated learning.
Limited studies focus on developing systems that effectively combine self-regulated learning with machine learning in ODeL.

Mafuhure et al. (2025) studied this question.

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