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

Leen Kiat Soh, Hong Jiang, Charles Ansorge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


This paper presents an innovative multiagent system to support cooperative learning among students both in the real classrooms and in distance education. The system, called I-MINDS, consists of a group of intelligent agents. A teacher agent monitors the student activities and helps the teacher manage and better adapt to the class. A student agent, on the other hand, interacts with the teacher agent and other student agents to support cooperative learning activities behind-the-scene for a student. Two I-MINDS innovations are (a) agent-federated "buddy group" formation and (b) automated ranking of questions and responses. We have tested our I-MINDS prototype with experiment and control groups to evaluate the impact of I-MINDS in learning. The results are encouraging.

Original languageEnglish (US)
Title of host publicationSIGCSE Bulletin (Association for Computing Machinery, Special Interest Group on Computer Science Education)
Number of pages5
StatePublished - Mar 2004
Event35th SIGCSE Technical Symposium on Computer Science Education - Norfolk, VA, United States
Duration: Mar 3 2004Mar 7 2004


Other35th SIGCSE Technical Symposium on Computer Science Education
Country/TerritoryUnited States
CityNorfolk, VA


  • Cooperative Learning
  • Multiagent Systems

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Food Science


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