Learners Monitoring Based on Traces in CSCL System

In this paper, we propose to use traces in order to facilitate the process of learners monitoringin collaborative learning context, where the interactions between the human actors are very voluminousand very heterogeneous. These traces concern the entire pedagogical activities of the actors as well asthe use of the system resources. Hence, first of all, these traces must be collected and filtered. Then, theymust be analyzed to assist or support the tutors in their tasks. For facilitating their use, these traces aredistributed into two main classes, which depend on the pedagogical activities (learning, assessment andcollaboration) and on the system use. The collected traces are used by a collaborative learning systemcalled SYCATA (SYstème pour la Collecte et lAnalyse des Traces dApprentissage collaboratif). Forfacilitating the learners monitoring process, a set of tools are offered to tutors (trace visualization, advicemanagement, etc.). Furthermore, SYCATA has an assistant system of the tutor, which is based on thecollected traces and a set of indicators calculated from theses traces. Our system was implemented andexperimented with a sample of university students where good results have been obtained