Implémentation de stratégies de regroupement des apprenants au sein d'une plate-forme d'apprentissage collaborative

Abstract

In recent years, several studies have been conducted on group formation in CSCL (Computer Supported Collaborative Learning) environments to encourage collaboration and interaction among learners. Grouping methods have been divided into two types of characteristics (members and group). In both cases, it is necessary to have methods and techniques to extract information on the behavior of the learner, taking into account the factors that affect the learner. In this work, we first proposed the existence of learners in a collaborative environment, which led us to apply two methods of assembly: relying on the learner profile or the choice of learners. Second, obtain statistics that reveal the emotional state and profile of the learner to help us apply the genetic algorithms in order to get the greatest number of opportunities for the best groups