• DocumentCode
    2020785
  • Title

    Evaluation of intelligent agent frameworks for human learning

  • Author

    Soliman, Mohamed ; Guetl, Christian

  • Author_Institution
    Inst. for Inf. Syst. & Comput. Media, Graz Univ. of Technol., Graz, Austria
  • fYear
    2011
  • fDate
    21-23 Sept. 2011
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE. The use of the multi-agent society model inhabited with intelligent virtual agents has shown to provide several benefits to learning. This paper reviews intelligent agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the agents in a distributed learning platform, the paper provides an evaluation of intelligent agent development frameworks. This evaluation will provide valuable information to those employing and integrating intelligent agents for different types of VLE with a view towards creating new learning scenarios.
  • Keywords
    computer aided instruction; cooperative systems; distributed processing; virtual reality; distributed learning platform; human learning; intelligent agent frameworks; pedagogical agents; virtual learning environments; Avatars; Conferences; Humans; Intelligent agents; Learning systems; Lifting equipment; Intelligent Agents; Intelligent Pedagogical Agents; Virtual Learning Environments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Interactive Collaborative Learning (ICL), 2011 14th International Conference on
  • Conference_Location
    Piestany
  • Print_ISBN
    978-1-4577-1748-2
  • Type

    conf

  • DOI
    10.1109/ICL.2011.6059574
  • Filename
    6059574