Predicting academic success in Belgium and France Comparison and\n integration of variables related to student behavior

2014/08/21 by Thibaut Lust, Lust, Thibaut, Nadine Meskens +3
Computer Science · #Online Learning and Analytics

paper · pdf · doi:10.48550/arxiv.1408.4955

Abstract

Having observed low success rates among first-year university students in\nboth Belgium and France, we develop prediction models in this paper in order to\nidentify, at the earliest possible stage, those students who are at risk of\nfailing at the end of the academic year. We applied different data mining\ntechniques to predict the students' academic success. We find that it is very\ndifficult to predict success by only considering the variables related to\nbehavior during classes, and that it is necessary to add variables related to\npersonal history, involvement in and behavior during their studies, and\nperceptions of academic life, to obtain good-quality results.\n

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