• DocumentCode
    2307452
  • Title

    A theoretical framework of pedagogical agents based on psychological incentive mechanism and Artificial Psychology theory

  • Author

    Tao Xiaome ; Niu Qinzhou ; Jackson, Mike ; Hu, Bin

  • Author_Institution
    Guilin Univ. of Technol., Guilin
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    428
  • Lastpage
    433
  • Abstract
    This paper proposes an innovative teaching and learning theoretical framework based on psychological incentive mechanism and Artificial Psychology theory. Related works about these two areas will be addressed in section 2. This framework includes three type pedagogical agents, namely the Expert agent, the Mentor agent and the Motivator agent. This framework is intended to create a positive and personalized study environment for the learners with the sufficient consideration to the learnerpsilas emotion ingredient, learnerpsilas personal preference and the appropriate application of the pedagogical psychology. The goal of this framework is to stimulate the learnerspsila internal drive to promote them to be active in the learning process.
  • Keywords
    computer aided instruction; expert systems; multi-agent systems; psychology; teaching; artificial psychology theory; e-learning; expert agent; innovative teaching; learning process; mentor agent; motivator agent; psychological incentive mechanism; Atmosphere; Computer aided instruction; Costs; Databases; Education; Electronic learning; Humans; Pervasive computing; Psychology; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-3616-3
  • Electronic_ISBN
    978-1-4244-2511-2
  • Type

    conf

  • DOI
    10.1109/ITME.2008.4743901
  • Filename
    4743901