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Technologies de l'Information et de la Connaissance dans l'Enseignement Supérieur et l'Industrie, Compiègne : France (2004)
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A connectionist approach for adaptive lesson
Hassina Seridi-Bouchelaghem1, Toufik Sari1, Mokhtar Sellami1
(10/2004)

This paper investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment. A method for adaptive pedagogical hypermedia document generation is proposed and implemented in a prototype called KnowledgeClass. This method is based on specialized connectionist architecture. The domain model is represented in a connectionist-based system which provides an optimal didactic plan composed of a set of basic units. The generated didactic plan is adapted to the learner's goals, abilities and preferences.
1 :  LRI - BADJI MOKHTAR UNIVERSITY – Laboratoire de Recherche informatique - Badji Mokhtar University
Adaptive learning ; learner model ; domain ontology ; neural networks

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