Automatic Identification of Questions in MOOC Forums and Association with Self-Regulated Learning

Abstract : Discussion forums can be a rich source to analyze students' questions but it can be challenging to find relevant categories of questions. We considered here students' posts from the discussion forum of four editions of a same French MOOC on Project Management. We extended a coding scheme to annotate questions based on their content (course vs. non course) and trained 3 stages of an automatic annotation model. Then we studied the correlation between the nature of the questions asked and students' performance and self-regulation. The results are promising and reveal, for the minority of students active on forums, the possibility to use this feature to better estimate their performance and some of their self-regulation skills based on questions they ask.
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https://hal.archives-ouvertes.fr/hal-02157335
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Submitted on : Thursday, June 20, 2019 - 6:18:06 PM
Last modification on : Friday, July 5, 2019 - 3:26:03 PM

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  • HAL Id : hal-02157335, version 1

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Fatima Harrak, François Bouchet, Vanda Luengo, Rémi Bachelet. Automatic Identification of Questions in MOOC Forums and Association with Self-Regulated Learning. Educational Data Mining, Jul 2019, Montréal, Canada. ⟨hal-02157335⟩

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