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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. (http://www.icl-conference.org)
Keywords : diagnosis computer based learning environments remediation adaptive educational scenarios electricity
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Conference papers
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https://telearn.archives-ouvertes.fr/hal-00190713
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:56:42 AM
Last modification on : Friday, November 6, 2020 - 4:06:40 AM

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  • HAL Id : hal-00190713, version 1

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TELEARN | TICE | IMAG | CNRS | TEL | UGA

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Sandra Michelet, Jean-Michel Adam, Vanda Luengo. Adaptive learning scenarios for detection of misconceptions about electricity and remediation. International Conference ICL'2006 Interactive Computer Aided Learning, 2006, Villach, Austria. pp.Actes CD, ISBN: 3-89958-195-4. ⟨hal-00190713⟩

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