In Intelligent Tutoring Systems, continuous analysis of learner's brain states is essential. Several studies have proposed different methods to evaluate learner's mental states in cognitive tasks. However, these studies do not take into account the nature of the cognitive task. In this paper, we have developed various categories of brain games in order to study the variation of some specific brain states (engagement, workload and distraction) depending on the type and difficulty of the game. The preliminary results showed a close relationship between the category of game, the workload mental state and learner's performance. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Ghali, R., & Frasson, C. (2014). An exploratory study of learners’ brain states. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8474 LNCS, pp. 644–646). Springer Verlag. https://doi.org/10.1007/978-3-319-07221-0_91
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