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

15 Scopus citations

Abstract

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 publicationProceedings of the Thirty-Fifth SIGCSE Technical Symposium on Computer Science Education, SIGCSE 2004
Pages368-372
Number of pages5
StatePublished - 2004
EventProceedings of the Thirty-Fifth SIGCSE Technical Symposium on Computer Science Education - Norfolk, VA, United States
Duration: Mar 3 2004Mar 7 2004

Publication series

NameProceedings of the SIGCSE Technical Symposium on Computer Science Education

Conference

ConferenceProceedings of the Thirty-Fifth SIGCSE Technical Symposium on Computer Science Education
CountryUnited States
CityNorfolk, VA
Period3/3/043/7/04

Keywords

  • Cooperative Learning
  • Multiagent Systems

ASJC Scopus subject areas

  • Engineering(all)

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