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Strecht, Pedro; Cruz, Luís; Soares, Carlos; Mendes-Moreira, João; Abreu, Rui – International Educational Data Mining Society, 2015
Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…
Descriptors: Comparative Analysis, Classification, Regression (Statistics), Mathematics
Mahnane, Lamia; Tayeb, Laskri Mohamed; Trigano, Philippe – International Journal of Information and Communication Technology Education, 2013
Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…
Descriptors: Electronic Learning, Hypermedia, Cognitive Style, Knowledge Level

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