Résumé:
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
