• DocumentCode
    2963499
  • Title

    Supporting Adaptive Learning Sequences with Agent Negotiation

  • Author

    Lai, K. Robert ; Chou, Chih-Yueh ; Lan, Chung Hsien

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Yuan Ze Univ., Chungli, Taiwan
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    506
  • Lastpage
    508
  • Abstract
    This study proposes a negotiation-based approach to combine the notion of adaptivity and adaptability for adaptive learning system. The system suggests adaptation and the student also submits his/her preference of adaptation. While the student preference violates the system suggestion, the student needs to negotiate with the system to reach an agreement of adaptation. To delineate the proposed framework, an undergraduate Java programming course is provided to illustrate how the negotiation-based adaptive learning system can support the generation of personalized adaptive learning sequences.
  • Keywords
    Java; computer science education; educational courses; further education; multi-agent systems; agent negotiation; personalized adaptive learning sequences; student preference; system suggestion; undergraduate Java programming course; Adaptation models; Adaptive systems; Cognition; Computational modeling; Control systems; Learning systems; adaptability; adaptivity; agent negotiation; learning sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4673-1642-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2012.26
  • Filename
    6268164