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

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.
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Mehdi Najjar, André Mayers, Yves Bouchard. Un modèle cognitif computationnel de représentation de la connaissance au sein des environnements virtuels d'apprentissage. Revue Internationale des Technologies en Pédagogie Universitaire, Conférence des recteurs et principaux des universités du Québec [CREPUQ], 2005, 2 (3), pp.43-52. ⟨edutice-00135097⟩

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