An algorithm based on fuzzy ordinal classification to predict students’ academic performance
Juan C. Gámez-Granados,
Aurora Esteban,
Francisco J. Rodriguez-Lozano
et al.
Abstract:Predicting students’ performance in distance courses is a very relevant task to help teachers identify students who need reinforcement or extension activities. Nevertheless, identifying the student’s progress is highly complicated due to the large number of students and the lack of direct interaction. Artificial intelligence algorithms contribute to overcoming this problem by automatically analyzing the features and interactions of each student with the e-learning platform. The main limitations of the previous… Show more
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