• DocumentCode
    3503850
  • Title

    Student Model in Adaptive Learning System Based on Semantic Web

  • Author

    Baishuang, Qiu ; Wei, Zhao

  • Author_Institution
    Coll. of Light Ind., Hebei Polytech. Univ., Tangshan
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    909
  • Lastpage
    913
  • Abstract
    In this paper, the student model of adaptive learning system based on semantic Web has been established,which is based on theories such as cognition psychology, construction principle, humanism and utilizing ASP.NET, SQL server, data mining technology and the semantic Web excavation technology. This model mainly considers three factors including user study style, cognition level, interest and hobby and so on. The system uses protege to set up student model ontology and uses data mining technology to update student model.
  • Keywords
    SQL; XML; cognition; computer aided instruction; data mining; network operating systems; ontologies (artificial intelligence); semantic Web; user modelling; ASP.NET; SQL server; XML; adaptive learning system; cognition psychology; construction principle; data mining; ontology; semantic Web excavation technology; student model; user study style; Adaptive systems; Cognition; Data mining; Education; Educational technology; HTML; Learning systems; Ontologies; Psychology; Semantic Web; adaptive learning system; semantic web; student;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.466
  • Filename
    4959179