• DocumentCode
    3509515
  • Title

    An Intelligence Tutoring System Based on Knowledge Grid

  • Author

    Li, Tao ; Xiong, Naixue

  • Author_Institution
    Sch. of Comput., Wuhan Univ., Wuhan
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    998
  • Lastpage
    1002
  • Abstract
    In teaching practice, it is hard to accurately, systematically evaluating how well students master the knowledge.The reason that students can not understand the current concept is that prerequisite knowledge hasn\´t been grasped, and students also do not know the potential impact on the following course. It is difficult to implement trace and personalized analysis. The intelligence tutoring system based on the "knowledge grid"(ITSKG) makes use of "knowledge grid" to set up a shared, collaborative knowledge system based on Web, guides students to understand the problem systematically. It can implement ldquoknowledgeramblerdquo originating from one node in "knowledge grid" as a starting point. Then, it will form the ldquomissing knowledge chainrdquo which shows the studentpsilas present knowledge architecture. Finally, the results will be sent to different virtual organizations which are constituted by teachers, so that their Q&A will become more effective.
  • Keywords
    Internet; educational courses; grid computing; groupware; intelligent tutoring systems; knowledge based systems; teaching; collaborative knowledge system; intelligence tutoring system; knowledge grid computing; knowledge ramble; knowledgeramble; virtual organization; Artificial intelligence; Collaboration; Computer science; Computer science education; Data mining; Educational technology; Grid computing; Intelligent systems; Knowledge management; Ontologies; Ontology; intelligence tutoring system; knowledge grid;
  • 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.2009.761
  • Filename
    4959476