• DocumentCode
    2867436
  • Title

    A Formal Model of Knowledge Base Systems in Intelligent Tutoring Systems

  • Author

    Li Zhiping ; Sun Yu

  • Author_Institution
    Center of Modern Educ. Technol., Yunnan Normal Univ., Kunming, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A formal model of a knowledge base system consisting of a domain knowledge base and a user knowledge base in intelligent tutoring systems is presented in this paper. The domain knowledge base is represented by 3-level structure: subject level, knowledge concept level and learning material level; and ontologies are introduced in order to improve the sharing and reusing of multimedia teaching materials. The user knowledge base is constructed by making use of learners´ knowledge levels, psychological characteristics and learning styles, etc., to improve the self-adaptability and pedagogical effects of the system. After given the formalisms of the above two kinds of knowledge bases, the formal model of our knowledge base system is presented, and the teaching process based on the system is discussed in detail to show that the model is practicable.
  • Keywords
    intelligent tutoring systems; knowledge based systems; ontologies (artificial intelligence); domain knowledge base; intelligent tutoring systems; knowledge base systems formal model; knowledge concept level; learners knowledge levels; learning material level; learning styles; multimedia teaching materials; ontologies; pedagogical effects; psychological characteristics; subject level; user knowledge base; Artificial intelligence; Building materials; Computer science; Education; Educational technology; Information technology; Intelligent systems; Ontologies; Psychology; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366431
  • Filename
    5366431