Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence
A computer-supported cooperative learning system with multiagent intelligence
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Computer-Supported Structured Cooperative Learning
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Student Learning and Team Formation in a Structured CSCL Environment
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Multiagent coalition formation for computer-supported cooperative learning
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
ClassroomWiki: a wiki for the classroom with multiagent tracking, modeling, and group formation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Improving Group Selection and Assessment in an Asynchronous Collaborative Writing Application
International Journal of Artificial Intelligence in Education
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With the advancement of teleconferencing technologies, human users are collaborating online more than ever today. To improve the efficiency and effectiveness of online human coalitions, one needs to support and facilitate collaborations among human users who may or may not know of each other well and of how to work well together as a team or in a team. Here we propose the Integrated Human Coalition Formation and Scaffolding (iHUCOFS) framework. This multiagent framework considers the roles of an agent as both an advisor and a representative to a human user, the tradeoffs between forming and scaffolding human coalitions, and how scaffolding could impact human behaviors for future coalitions. Based on the axioms and design principles of iHUCOFS, we have developed VALCAM---an iterative auction based coalition formation algorithm. To investigate the feasibility and impact of VALCAM, we have conducted an experiment in a computer-supported collaborative learning environment and obtained promising results.