• DocumentCode
    1362082
  • Title

    Annie: Automated Generation of Adaptive Learner Guidance for Fun Serious Games

  • Author

    Thomas, James M. ; Young, R. Michael

  • Author_Institution
    Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    3
  • Issue
    4
  • fYear
    2010
  • Firstpage
    329
  • Lastpage
    343
  • Abstract
    This paper describes some of the difficulties inherent in building intelligent educational games, specifically the challenge of integrating pedagogy with core game play. We introduce a plan-based knowledge representation that provides a novel framework for infusing the core mechanics of a game with pedagogical content. We describe, in detail, a system that leverages this framework to dynamically adapt a game to individual learners at runtime.
  • Keywords
    computer aided instruction; computer games; adaptive learner guidance; automated generation; fun serious games; intelligent educational games; pedagogy; plan-based knowledge representation; Adaptation model; Artificial intelligence; Computational modeling; Computer aided instruction; Games; Knowledge representation; Artificial intelligence; computer-managed instruction.; games; intelligent tutoring; plan generation;
  • fLanguage
    English
  • Journal_Title
    Learning Technologies, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1939-1382
  • Type

    jour

  • DOI
    10.1109/TLT.2010.32
  • Filename
    5611478