• DocumentCode
    3520888
  • Title

    Application of Bayesian Network in Intelligent CAI

  • Author

    Ma Wen-long ; Liao Jian-ping ; Yu Wen-li

  • Author_Institution
    Sch. of Inf. Eng., Quzhou Coll. of Technol., Quzhou, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Many uncertainty factors exist in the process of building the student model in Intelligent CAI. This article adopts Bayesian Network to deal with these uncertainties. The paper emphatically analyzes the constructive process of Bayesian network in the student model and optimize the Bayesian Network by applying a algorithm to search cluster nodes, which improves the adaptability of the Intelligent CAI .
  • Keywords
    belief networks; computer aided instruction; pattern clustering; uncertainty handling; Bayesian network; cluster node searching; computer aided instruction; intelligent CAI; uncertainty factors; Bayesian methods; Clustering algorithms; Computer aided instruction; Knowledge engineering; Testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873364
  • Filename
    5873364
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3520888