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Supporting Self-Regulation Learning Using a Bayesian Approach. Some Preliminary Insights
Abstract : Self-Regulated Learning (SRL) is actually challenging modern online environments (e-learning platforms, MOOCs, exercise-based platforms, ...). A large emergent literature points out the need for empirical studies on approaches that can help to build tools for measuring and scaffolding SRL. This paper is a state of the art aiming to identify a set of key avenues to conduct a future experimental research on this theme. More importantly, we present the approaches of Open Learner Models, and knowledge Tracing through Bayesian Networks that offer promising insights to model student knowledge, measure SRL levels and provide appropriate interventions to foster student SRL skills.
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03325733
Contributor : Fahima Djelil Connect in order to contact the contributor
Submitted on : Thursday, August 26, 2021 - 10:10:17 AM
Last modification on : Wednesday, January 19, 2022 - 3:48:22 PM
Long-term archiving on: : Saturday, November 27, 2021 - 6:19:19 PM
Contributor : Fahima Djelil Connect in order to contact the contributor
Submitted on : Thursday, August 26, 2021 - 10:10:17 AM
Last modification on : Wednesday, January 19, 2022 - 3:48:22 PM
Long-term archiving on: : Saturday, November 27, 2021 - 6:19:19 PM
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AI4EDU__IJCAI_2021.pdf
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