Student modelling by a knowledge-based system |
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Authors: | Odile Paliè s,Michel Caillot,Evelyne Cauzinille-Marmè che,Jean-Louis Lauriè re,Jacques Mathieu |
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Affiliation: | Laboratoire ďIntelligence Artificielle C.F. Picard, UniversitéParis 6, 4 place Jussieu, 75252 Paris Cédex 05, France;Laboratoire Interuniversitaire de Recherche sur ľEnseignement des Sciences Physiques et de la Technologie, UniversitéParis 7, 2 place Jussieu, 75251 Paris Cédex 05, France;Laboratoire de Psychologie génétique, UniversitéParis 5, 46 rue St Jacques, 75005 Paris, France;Laboratoire ďIntelligence Artificielle C.F. Picard, UniversitéParis 6, 4 place Jussieu, 75252 Paris Cédex 05, France;Laboratoire ďIntelligence Artificielle C.F. Picard, UniversitéParis 6, 4 place Jussieu, 75252 Paris Cédex 05, France and Laboratoire de Psychologie etlnformatique, Universitéde Rouen, rue Lavoisier, 76130 Mont Saint Aignan, France |
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Abstract: | ELECTRE is a project to build an intelligent tutoring system for learning basic electricity. This paper describes a student model based on the student's cognitive processes. This model includes, for each student, his/her domain knowledge and the specific heuristics. Moreover, it uses meta-knowledge of problem solving. This model is simulated by a knowledge-based system that controls the solving processes by meta-rules. A case study is presented. |
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Keywords: | intelligent tutoring system cognitive modelling expert system meta-knowledge cognitive science electricity teaming |
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