Multiagent coalition formation for computer-supported cooperative learning

Authors:
Leen-Kiat Soh;Nobel Khandaker;Hong Jiang
Affiliations:
Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE;Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE;Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE
Venue:
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
Year:
2006

Citing 5
Cited 5

Agent-based cooperative learning: a proof-of-concept experiment

Proceedings of the 35th SIGCSE technical symposium on Computer science education
Utterance classification in AutoTutor

HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
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
AutoTutor: A simulation of a human tutor

Cognitive Systems Research

Forming and scaffolding human coalitions with a multi-agent framework

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
I-MINDS: A Multiagent System for Intelligent Computer- Supported Collaborative Learning and Classroom Management

International Journal of Artificial Intelligence in Education
Renaissance computing: an initiative for promoting student participation in computing

Proceedings of the 40th ACM technical symposium on Computer science 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
Improving Group Selection and Assessment in an Asynchronous Collaborative Writing Application

International Journal of Artificial Intelligence in Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we describe a computer-supported cooperative learning system in education and the results of its deployment. The system, called I-MINDS, consists of a set of teacher agents, group agents, and student agents. While the agents possess individual intelligent capabilities, the novel invention of I-MINDS lies in multiagent intelligence and coalition formation. I-MINDS supports student participation and collaboration and helps the instructor manage large, distance classrooms. Specifically, it uses a Vickrey auction-based and learning-enabled algorithm called VALCAM to form student groups in a structured cooperative learning setting. We have deployed I-MINDS in an introductory computer science course (CS1) and conducted experiments in the Spring and Fall semesters of 2005 to study how I-MINOS-supported collaboration fares against traditional, face-to-face collaboration. Results showed that students using I-MINDS performed (and outperformed in some aspects) as well as students in traditional settings.