Using Traces to Qualify Learner's Engagement in Game-Based Learning
Résumé
Analysing learners' behaviour continuously and under ecological conditions can help designers, trainers and teachers to analyse, design, validate, and also to adapt and per- sonalize the learning game. Metrics methods propose to collect any interactions between a user and the game. While classical metrics methods fall within quantitative approaches, we aim to extract some qualitative information on high-level behaviours. This paper is focused on learners' engaged-behaviours. Thus, to identify and to qualify learners' engagement from their traces of interaction, we combine a theoretical work on engagement and engaged-behaviours, the Self-Determination Theory, the Activity Theory and a trace framework. We implemented this approach on 12 players' interaction data collected during four months. As a result, we identified and qualified four activities that refer to different types of engaged-behaviours. Thus, this user study show the feasibility and the validity of the proposed approach.
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