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Adaptive learning scenarios for detection of misconceptions about electricity and remediation

Sandra Michelet 1 Jean-Michel Adam 1 Vanda Luengo 1
1 CLIPS - IMAG - Communication Langagière et Interaction Personne-Système
Abstract : Our main objective is to model the knowledge used by learners in order to solve problems about electricity. We are searching means to do a diagnosis about student's activity based on a microworld of electric circuits. Once the diagnosis realized, we try to provide the learner with the most relevant remediation with regard to his/her misconceptions.
Keywords : diagnosis computer based learning environments remediation electricity
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Journal articles
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https://telearn.archives-ouvertes.fr/hal-00190780
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:57:30 AM
Last modification on : Thursday, February 27, 2020 - 10:44:03 AM

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  • HAL Id : hal-00190780, version 1

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TELEARN | TICE | IMAG | CNRS | UGA | TEL

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Sandra Michelet, Jean-Michel Adam, Vanda Luengo. Adaptive learning scenarios for detection of misconceptions about electricity and remediation. International Journal of Emerging Technologies in Learning (iJET), 2007, 2 (1), 2007, 5 p. ⟨hal-00190780⟩

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