Agents that reduce work and information overload
Communications of the ACM
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Monitoring Learners Activities in a Collaborative Environment
CRIWG '01 Proceedings of the Seventh International Workshop on Groupware
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Functional versus spontaneous roles during CSCL
CSCL '05 Proceedings of th 2005 conference on Computer support for collaborative learning: learning 2005: the next 10 years!
Using Data Mining as a Strategy for Discovering User Roles in CSCL
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
eTeacher: Providing personalized assistance to e-learning students
Computers & Education
Coaching Web-based Collaborative Learning based on Problem Solution Differences and Participation
International Journal of Artificial Intelligence in Education
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
Training collaboration skills to improve group dynamics
Proceedings of the 2008 Euro American Conference on Telematics and Information Systems
Interface agents personalizing Web-based tasks
Cognitive Systems Research
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Organizing students in groups does not guarantee their learning. The behaviors that student show while solving a task in a computer-supported collaborative environment, that is, the roles they play, are vital to reach teaching and learning goals successfully. In this context, we present a multi-agent model that monitors students' participation in a group, recognizes their team roles as they work collaboratively, automatically builds their profiles, diagnoses the state of the collaboration considering balance of team roles as an ideal situation, and proposes corrective actions when the group behavior is far from this ideal. The proposed model will be developed in the context of an e-learning environment and will be validated using real groups of students working collaboratively.