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Machine Learning for Predictive Learning Analytics

Machine Learning for Predictive Learning Analytics
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Author(s): Agnieszka Szmelter-Jarosz (Faculty of Economics, University of Gdańsk, Poland)
Copyright: 2026
Pages: 24
Source title: AI-Augmented Creativity in Learning Analytics
Source Author(s)/Editor(s): Stavroula Kalogeras (Heriot-Watt University, UAE), Sepideh Samadi (Heriot-Watt University, UAE)and Hamed Nozari (Independent Researcher, Australia)
DOI: 10.4018/979-8-3373-5117-9.ch001

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Abstract

This research examines the role of machine learning in predictive learning analytics and its applications in educational settings. The main focus has been on how to prepare data, select and train machine learning models, evaluate and validate them, and finally, effectively integrate these models into educational systems. The findings show that combining data-driven analytics with machine learning algorithms can help improve the quality of learning, personalize education, and enhance educational interventions. In addition to technical requirements, this approach requires attention to ethical, social, and educational policy considerations in order to serve as an effective tool in education.

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