Skip to Main content Skip to Navigation
New interface
Conference papers

Une architecture multi-agents pour des sessions d'apprentissage collaboratif

Abstract : Collaboration between learners can have a positive impact in a learning session only if learners can exchange efficiently. discussions, advices given by a colearner are good means to help a learner in knowledge understanding. One of the main problems in a collaborative learning activity is to create coherent groups among students. In this paper, we present an architecture that aims to address this question. We use a neural network algorithm to obtain homogenous groups. An architecture based on several agents is then able to select the more relevant group and provide the learning session with information related to the subject.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Corinne Gervais Connect in order to contact the contributor
Submitted on : Thursday, November 4, 2004 - 4:34:27 PM
Last modification on : Monday, July 20, 2020 - 12:34:50 PM
Long-term archiving on: : Thursday, April 1, 2010 - 3:37:17 PM


  • HAL Id : edutice-00000673, version 1



Emmanuel Blanchard, Claude Frasson. Une architecture multi-agents pour des sessions d'apprentissage collaboratif. Technologies de l'Information et de la Communication dans les Enseignements d'ingénieurs et dans l'industrie, Nov 2002, Villeurbanne, France. pp.283-287. ⟨edutice-00000673⟩



Record views


Files downloads