Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Implementing the jigsaw model in CS1 closed labs
Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
A framework for CS1 closed laboratories
Journal on Educational Resources in Computing (JERIC)
Forming and scaffolding human coalitions with a multi-agent framework
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
International Journal of Artificial Intelligence in Education
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
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In this paper we describe computer-supported structured cooperative learning, applied to the laboratories of an introductory CS1 course. We extended I-MINDS, a multiagent system that supports student-teacher and student-student real-time interactions, to support a cooperative learning paradigm called Jigsaw. Jigsaw considers of several phases of activities, including dividing students into different groups for focused exploration, reporting and reshaping, and integration and evaluation. I-MINDS supports the formation of teams and monitors the interaction. We have deployed I-MINDS in the hands-on programming laboratories in CS1, comparing student performance in the lab using only Jigsaw (where students carried out the Jigsaw process with face-to-face interactions) and in the lab using I-MINDS supported Jigsaw (where students could interact only through I-MINDS). We report the results of our study on the design of I-MINDS to support Jigsaw and the impact of I-MINDS in student performance.