A machine learning-based methodology to predict learners’ dropout, success or failure in MOOCs

PurposeEven if MOOCs (massive open online courses) are becoming a trend in distance learning, they suffer from a very high rate of learners’ dropout, and as a result, on average, only 10 per cent of enrolled learners manage to obtain their certificates of achievement. This paper aims to give tutors...

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Veröffentlicht in:	International journal of Web information systems 2019-12, Vol.15 (5), p.489-509
Hauptverfasser:	Mourdi, Youssef, Sadgal, Mohamed, El Kabtane, Hamada, Berrada Fathi, Wafaa
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Distance learning Feature extraction Machine learning Methodology Multivariate analysis Online instruction Prediction models Researchers School dropouts Tutoring
Online-Zugang:	Volltext
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