• DocumentCode
    1922242
  • Title

    A multi-agent architecture implementation of learning by teaching systems

  • Author

    Viswanath, Karun ; Adebiyi, Bilikiss ; Leelawong, Krittaya ; Biswas, Gautam

  • Author_Institution
    Dept. of EECS, Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    61
  • Lastpage
    65
  • Abstract
    Our group has been designing and implementing learning environments that promote deep understanding and transfer in complex domains. We have adopted the learning by teaching paradigm, and developed computer-based agents that students teach, and learn from this experience. The success of teachable agents has led us to develop a multiagent architecture that will be used to develop extended instructional systems based on gaming environments.
  • Keywords
    intelligent tutoring systems; learning (artificial intelligence); multi-agent systems; teaching; computer-based agents; gaming environments; instructional systems; learning environments; multiagent architecture; student learning; teachable agents; teaching systems; Collaborative work; Competitive intelligence; Computer architecture; Education; Feedback; Intelligent agent; Intelligent systems; Intersymbol interference; Monitoring; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2181-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2004.1357375
  • Filename
    1357375