Adaptive learning scenarios for detection of misconceptions about electricity and remediation

Authors

  • Sandra MICHELET Laboratoire d'Informatique de Grenoble
  • Jean-Michel ADAM Laboratoire d'Informatique de Grenoble
  • Vanda LUENGO Laboratoire d'Informatique de Grenoble

DOI:

https://doi.org/10.3991/ijet.v2i1.85

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 studentâ??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.

Author Biographies

Sandra MICHELET, Laboratoire d'Informatique de Grenoble

PhD Student

Jean-Michel ADAM, Laboratoire d'Informatique de Grenoble

Senior Lecturer

Vanda LUENGO, Laboratoire d'Informatique de Grenoble

Senior Lecturer

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Published

2007-02-22

How to Cite

MICHELET, S., ADAM, J.-M., & LUENGO, V. (2007). Adaptive learning scenarios for detection of misconceptions about electricity and remediation. International Journal of Emerging Technologies in Learning (iJET), 2(1). https://doi.org/10.3991/ijet.v2i1.85

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Section

Papers