Un système d’aide à l’analyse des traces des apprenants dans les jeux sérieux

Abstract : Understanding play traces resulting from the learner's activity in serious games is a challenged research area when the serious game allows a large amount of free actions. In this paper, we present a technical and a methodological framework that assists designers to build Petri nets of a serious game and then use them to analyze player's traces and generate pedagogical labels about the learner's behavior. We carried out an experimental study to evaluate the effectiveness of the labeling algorithm and to validate the acceptation and the readability of the pedagogical labels by the teachers.
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Journal articles
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https://hal.sorbonne-universite.fr/hal-01890711
Contributor : Mathieu Muratet <>
Submitted on : Monday, October 8, 2018 - 8:44:26 PM
Last modification on : Wednesday, May 15, 2019 - 3:39:38 AM

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  • HAL Id : hal-01890711, version 1

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Mathieu Muratet, Amel Yessad, Thibault Carron, Arthur Ramolet. Un système d’aide à l’analyse des traces des apprenants dans les jeux sérieux. Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation, ATIEF, 2018, Numéro Spécial Sélection de la conférence EIAH 2017, 25 (2018). ⟨hal-01890711⟩

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