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arXiv · 1907.04723

Markov Decision Process for MOOC users behavioral inference

Firas Jarboui·Célya Gruson-daniel·Pierre Chanial·Alain Durmus·Vincent Rocchisani·Sophie-helene Goulet Ebongue·Anneliese Depoux·Wilfried Kirschenmann·Vianney Perchet
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Abstract

Studies on massive open online courses (MOOCs) users discuss the existence of typical profiles and their impact on the learning process of the students. However defining the typical behaviors as well as classifying the users accordingly is a difficult task. In this paper we suggest two methods to model MOOC users behaviour given their log data. We mold their behavior into a Markov Decision Process framework. We associate the user's intentions with the MDP reward and argue that this allows us to classify them.

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Firas Jarboui, Célya Gruson-daniel, Pierre Chanial, Alain Durmus, Vincent Rocchisani, Sophie-helene Goulet Ebongue, Anneliese Depoux, Wilfried Kirschenmann, Vianney Perchet. 2019-07-10. Markov Decision Process for MOOC users behavioral inference. https://doi.org/10.1007/978-3-030-19875-6_9

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