Adaptive learning scenarios for detection of misconceptions about electricity and remediation

Sandra Michelet; Jean-Michel Adam; Vanda Luengo

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

Document type :

Conference papers

Domain :

Computer Science [cs] / Technology for Human Learning

Complete list of metadatas

https://telearn.archives-ouvertes.fr/hal-00190713
Contributor : Jerome Zeiliger <>
Submitted on : Friday, November 23, 2007 - 8:56:42 AM
Last modification on : Wednesday, September 18, 2019 - 1:31:22 AM

Adaptive learning scenarios for detection of misconceptions about electricity and remediation

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Adaptive learning scenarios for detection of misconceptions about electricity and remediation

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