Exploring the role of machine learning in forecasting student performance in education: An in-depth review of literature
Bavani Raja Pandian,
Azlinda Abdul Aziz,
Hema Subramaniam
et al.
Abstract:The literature on the role of machine learning in forecasting student performance in education lacks comprehensive data quality, equitable and interpretable models, consideration of contextual and causal factors, and the integration of human expertise. This review will explore machine learning types, algorithms, predictive performance, and impact on student performance in education. A systematic literature review based on articles published in the past 2019–2023 period Methods: The IEEE Xplore database was sea… Show more
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