Personalización en aprendizaje colaborativo soportado por computadora mediante sistemas basados en agentes

In systems for Computer Supported Collaborative Learning is not enough to organize students into groups. The successful in a collaborative experience depends on (among other things) the roles that students and teachers are able to manifest during the collaborative dynamic. In this paper two agent-based systems specially designed are presented. The first is focused both monitoring team roles played by students in the dynamics of collaboration, such as automatically intervene with corrective action when these roles are not properly displayed. The second agent-based system aimed at detecting group conflicts that require teacher intervention to resolve, and to carry out the training of those teachers in the demonstration of the proper roles to resolve these conflicts. Both systems are currently under development for further experimental validation with real students and teachers.