• DocumentCode
    3254291
  • Title

    The research of classical learner models in intelligent tutoring systems

  • Author

    Zhiping, Li ; Yu, Sun ; Tianwei, Xu ; Yang, Liu

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Yunnan Normal Univ., Kunming, China
  • fYear
    2012
  • fDate
    14-17 July 2012
  • Firstpage
    1204
  • Lastpage
    1207
  • Abstract
    Learner models are of great importance in the construction of intelligent tutoring systems. In this paper, after introducing intelligent tutoring systems and learner models, four kinds of classical learner models called Stereotypes Models, Overlay Models, Buggy Models and Constraint-Based Models and their properties are discussed in detail. Finally, we compare these four kinds of learner models in detail, according to their characteristics and functions.
  • Keywords
    intelligent tutoring systems; Buggy Models; classical learner models; constraint-based models; intelligent tutoring systems; overlay models; stereotypes models; Analytical models; Artificial intelligence; Computational modeling; Computer science; Educational institutions; Materials; Classical Learner Models; Domain Knowledge; Intelligent Tutoring Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2012 7th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-0241-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.6295280
  • Filename
    6295280