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Book Sections Year : 2019

Markov Decision Process for MOOC Users Behavioral Inference

Célya Gruson-Daniel
Vincent Rocchisani
  • Function : Author
Sophie-Helene Goulet Ebongue
  • Function : Author
Anneliese Depoux
  • Function : Author
Wilfried Kirschenmann
Sophie-Helene Goulet Ebongue
  • Function : Author

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.

Dates and versions

hal-03089780 , version 1 (28-12-2020)

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Firas Jarboui, Célya Gruson-Daniel, Alain Durmus, Vincent Rocchisani, Sophie-Helene Goulet Ebongue, et al.. Markov Decision Process for MOOC Users Behavioral Inference. EMOOCs 2019: Digital Education: At the MOOC Crossroads Where the Interests of Academia and Business Converge, pp.70-80, 2019, ⟨10.1007/978-3-030-19875-6_9⟩. ⟨hal-03089780⟩
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