Collaborative learning is a learning strategy where multiple learners interact with each other in order to achieve the objectives of each one. Its impact on learners' levels is assured; it is obvious that it is necessary to be interested in learning group environments instead of individual learning environments. In this paper, we present some tools developed to support the collaboration between learners in an agent-based collaborative learning system (SACA). These offered tools support different types of interactions between learners which can be synchronous or asynchronous (forum, chat, electronic mailing, etc.). These interactions are analyzed by an artificial agent called: collaboration agent in order to extract the social profile of each learner. The experimentation results of the system are presented at the end of the paper. This experimentation is done at Computer Science Department of Guelma University (Algeria)
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