Abstract

Collaborative learning is a process in which two or more individuals interact in order to learn something. The success of the learning process depends on the way in which the individuals are engaged in a community. Within the community, individuals are grouped into small clusters according to their homogeneous properties and the diversity within the group. In this work we focus on the formation of groups of individuals. More specifically, we apply genetic algorithms in the formation process in order to deal with the high level of complexity. We developed a prototype to evaluate the approach and the results are discussed.