首页 | 本学科首页   官方微博 | 高级检索  
     


Student modelling by a knowledge-based system
Authors:Odile Paliè  s,Michel Caillot,Evelyne Cauzinille-Marmè  che,Jean-Louis Lauriè  re,Jacques Mathieu
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
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.
Keywords:intelligent tutoring system    cognitive modelling    expert system    meta-knowledge    cognitive science    electricity teaming
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号