• DocumentCode
    480492
  • Title

    The Application of Ontology Model in Intelligent Tutoring System

  • Author

    Tan, Zhihong ; Weiling, Liu ; Liu, Libing ; Yang, Zeqing

  • Author_Institution
    Sch. of Environ. Sci. & Eng., Nanchang Univ., Nanchang
  • Volume
    5
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1176
  • Lastpage
    1179
  • Abstract
    Intelligent tutoring system (ITS) is a new educational methodology. It includes the integration of education technology and advanced technology in multidisciplinary field. In this paper, we focused on the intelligent knowledge tutor mode which is based on the theory of ontology, an architecture of integrated intelligent tutoring system (IITS) is proposed, its ontology model is established, and its application characteristics is analyzed. Research shows that multi-level isomeric knowledge integration processing can be excluded the factors generated internal interfere and conflicts from the bottom of system, large isomeric information could be better shared and reused, which solved the problem of processing the personify and visualization with IITS knowledge; the redundancy feedback control based on the ontology model can achieve self-learning, self-regulating and self-maintenance of the knowledge for settling the distributed adaptive of the IITS knowledge processing.
  • Keywords
    feedback; intelligent tutoring systems; ontologies (artificial intelligence); education technology; integrated intelligent tutoring system; knowledge processing; multilevel isomeric knowledge integration processing; ontology model; redundancy feedback control; Application software; Computer networks; Computer science; Computer science education; Educational technology; Intelligent structures; Intelligent systems; Ontologies; Software engineering; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.363
  • Filename
    4723117