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Towards the exploitation of multimodal data to measure students' mental effort

Barbara Moissa 1 Geoffray Bonnin 1 Boyer Anne 1
1 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : In this paper, we rely on the Cognitive Load Theory and explore how multimodal data can be used to measure students' effort at the task level. Different from what we expected, the subjective effort ratings have a higher correlation with the students' scores, while the behavioral and physiological data have higher correlations with the scores than with the effort ratings. Moreover, we found that, in the context of our study, ability had a stronger influence on students' success than the prior knowledge, while none of these variables had an influence on the effort ratings. Finally, we propose a new effort model based on students' activity.
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https://hal.inria.fr/hal-02981591
Contributor : Geoffray Bonnin <>
Submitted on : Wednesday, October 28, 2020 - 10:05:11 AM
Last modification on : Friday, October 30, 2020 - 3:29:45 AM

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Barbara Moissa, Geoffray Bonnin, Boyer Anne. Towards the exploitation of multimodal data to measure students' mental effort. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT), Jul 2020, Tartu/ Virtual, Estonia. ⟨10.1109/ICALT49669.2020.00118⟩. ⟨hal-02981591⟩

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