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Titlebook: Intelligent Tutoring Systems; Third International Claude Frasson,Gilles Gauthier,Alan Lesgold Conference proceedings 1996 Springer-Verlag

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樓主: hexagon
21#
發(fā)表于 2025-3-25 06:51:00 | 只看該作者
22#
發(fā)表于 2025-3-25 11:06:48 | 只看該作者
23#
發(fā)表于 2025-3-25 14:25:20 | 只看該作者
24#
發(fā)表于 2025-3-25 16:52:43 | 只看該作者
An actor-based architecture for intelligent tutoring systems, actor which allows it to be reactive, instructable, adaptive and cognitive. We then provide a detailed view of this architecture and show how it functions with an example involving the different actors of a new learning strategy, the learning by disturbing strategy.
25#
發(fā)表于 2025-3-25 20:30:45 | 只看該作者
A generic architecture for ITS based on a multi-agent approach,a description of the different algorithms for collaboration between agents. After we see that this model is an autosimilar one. We can use the same model for different level. Multi-agent systems can be see as primitif agents in the upper level and a multi-agent can be described with the same model as its components.
26#
發(fā)表于 2025-3-26 01:30:23 | 只看該作者
,Modèles cognitifs pour l’apprentissage en thermodynamique, nous avons menés auprès de Novices et d‘Experts afin de saisir leurs modèles mentaux, et propose un formalisme de représentation de ces modèles qui interviennent dans le processus de résolution de problèmes en thermodynamique. On utilisera ce formalisme pour suivre l‘évolution de l‘a(chǎn)pprenant dans un système tutoriel d‘a(chǎn)ide à l‘a(chǎn)pprentissage.
27#
發(fā)表于 2025-3-26 04:20:28 | 只看該作者
LearnMedia: A co-operative intelligent tutoring system for learning multimedia, co-operative and collaborative interactions between students and teachers and among students. The LearnMedia prototype demonstrates the need for multi-agent co-operation and collaboration in future ITSs.
28#
發(fā)表于 2025-3-26 10:10:51 | 只看該作者
29#
發(fā)表于 2025-3-26 13:23:43 | 只看該作者
Motivation system and human model for intelligent tutoring,al, it is difficult to identify the fuzzy if-then rules and membership functions, so we introduce the automatic fuzzy rule acquisition system, called FREGA, which is our new knowledge acquisition system combining ID3 method and Genetic Algorithm. Finally, we give the estimation of this system.
30#
發(fā)表于 2025-3-26 20:03:08 | 只看該作者
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