Un modèle cognitif computationnel de représentation de la connaissance au sein des environnements virtuels d’apprentissage

A cognitive computational model for knowledge representation in virtual learning environments
Mehdi Najjar - Département d’informatique de l’Université de Sherbrooke, Canada
André Mayers - Département d’informatique de l’Université de Sherbrooke, Canada
Yves Bouchard - Département de philosophie de l’Université de Sherbrooke, Canada
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Abstract

In recent years, encouraging results in the field of knowledge representation within virtual learning environments (VLEs) confirm findings by artificial intelligence research in this area: namely, the benefits of integrating knowledge accumulated by research into psychology (i.e. the cognitive mechanisms of human learning) and the positive results yielded by computational modelling theories. This paper introduces a new cognitive and computational approach to knowledge representation inspired by cognitive theories that explain human cognitive activity in terms of memory subsystems and their processes, and whose aim is to suggest formal computational models of knowledge that offer efficient and expressive representation of virtual learning structures. Practical studies serve both to validate the new approach and allow general conclusions to be drawn.

Available online: 2006-12-21

DOI : https://doi.org/10.18162/ritpu.2005.103

Najjar, M., Mayers, A., & Bouchard, Y. (2005). Un modèle cognitif computationnel de représentation de la connaissance au sein des environnements virtuels d’apprentissage. International Journal of Technologies in Higher Education, 2(3), 43-52. https://doi.org/10.18162/ritpu.2005.103