Collaborative Student Modeling by Cognitive Maps
DFMA '05 Proceedings of the First International Conference on Distributed Frameworks for Multimedia Applications
A Simulated Student Can Improve Collaborative Learning
International Journal of Artificial Intelligence in Education
Supporting Collaborative Learning With An Intelligent Web-Based System
International Journal of Artificial Intelligence in Education
An architecture for intelligent CSCL argumentation systems
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 2
Training collaboration skills to improve group dynamics
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Collaborative student profile to support assistance in CSCL environment
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Web usage mining approach to detect student's collaborative skills
Journal of Web Engineering
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Computer Supported Collaborative Learning (CSCL) systems have recognized advantages. However, using these systems does not guarantee an effective collaborative learning. Success or failure of the learning experience depends on the collaborative skills the students show in the group. This work presents a multiagent model applied to CSCL environment, which aims both at recognizing conflicts occurring in group dynamics and also at providing personalized training of collaborative skills demonstrated by group members. Conflicts are recognized with the aid of information stored in a group model and by applying the Interaction Process Analysis method. Personalization is achieved through Bayesian networks that consider students' collaborative characteristics, stored in a collaborative student model, to elucidate the most suitable training strategy.