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Success prediction in MOOCs A case study

Antoine Pigeau 1, 2 Olivier Aubert 1, 2 Yannick Prié 1, 2
2 DUKe - Data User Knowledge
LS2N - Laboratoire des Sciences du Numérique de Nantes
Abstract : Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several classification models.
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https://hal.archives-ouvertes.fr/hal-02121417
Contributor : Antoine Pigeau <>
Submitted on : Monday, May 6, 2019 - 3:25:46 PM
Last modification on : Monday, March 2, 2020 - 11:44:39 AM

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  • HAL Id : hal-02121417, version 1

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Antoine Pigeau, Olivier Aubert, Yannick Prié. Success prediction in MOOCs A case study. Educational Data Mining 2019, Jul 2019, Montréal, France. ⟨hal-02121417⟩

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