Tailored Solutions to Problems Resolution â?? An Experimental Validation of a Cognitive Computational Knowledge Representation Model

Authors

  • Mehdi Najjar University of Sherbrooke (canada)
  • Andre Mayers University of Sherbrooke (canada)
  • Kouihong Vong
  • Sebastien Turcotte

DOI:

https://doi.org/10.3991/ijet.v2i1.78

Abstract


In spite of an increasing development of virtual and distant applications which use the advantages of multimedia and the Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically adapted to each user needs. This paper proposes a knowledge representation model which judiciously serves the remediation process of an intelligent learning environment in interaction with students during virtual learning activities. By means of experimental results obtained thanks to practical tests, we show that our knowledge representation model facilitates the planning of a tailored sequence of feedbacks that significantly help the learner.

Author Biographies

Mehdi Najjar, University of Sherbrooke (canada)

Dept. of Computer Science (Ph. D.)

Andre Mayers, University of Sherbrooke (canada)

Dept. of Computer Science (Professor)

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Published

2007-02-08

How to Cite

Najjar, M., Mayers, A., Vong, K., & Turcotte, S. (2007). Tailored Solutions to Problems Resolution â?? An Experimental Validation of a Cognitive Computational Knowledge Representation Model. International Journal of Emerging Technologies in Learning (iJET), 2(1). https://doi.org/10.3991/ijet.v2i1.78

Issue

Vol. 2 No. 1 (2007)

Section

Papers

License

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