Integration of Automatic Tools for Displaying Interaction Data in Computer Environments for Distance Learning

Abstract : Our research concerns distance learning (DL). We are interested with distributed collaborative learning. In this approach, it is important to have indicators permitting the appreciation of durability and the evolution of groups involved. We think that actors responsible for the organisation and the working of groups (tutor for each group and coordinator of the DL session for all groups and its progress in general) can from the types of interactions and their amounts, get revealing elements permitting them to appreciate the state of a group and its evolution. From the analysis of interactions seen during a distance learning experimentation that we led, we show here that the disappearance of a group as we observed could be discerned practically in real time. It justifies for us, the necessity to set up in distance learning environments, agents capable of assisting the coordinator of the training and the tutors in their tasks.