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Article
Education & Educational Research
Framework for automatically suggesting remedial actions to help students at risk based on explainable ML and rule-based models
Balqis Albreiki
Summary: This paper presents a model that uses machine learning techniques to predict students' academic performance, accurately identifying students at risk of low performance and providing remedial actions to help them improve.
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION (2022)
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