• DocumentCode
    476261
  • Title

    A new method for learning barriers diagnosis based on fuzzy rules

  • Author

    Bai, Shih-ming ; Chen, Shyi-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • Volume
    6
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    3090
  • Lastpage
    3095
  • Abstract
    Some methods have been presented for diagnosing learning problems of learners for adaptive learning systems. In this paper, we present a new method to diagnose learning barriers based on fuzzy rules. The proposed method evaluates the learning degree and infers the probability of learning barriers of the learner based on fuzzy rules. It provides a useful way to diagnose the learning barriers of the learners in adaptive learning systems.
  • Keywords
    fuzzy logic; fuzzy set theory; learning systems; probability; adaptive learning systems; fuzzy rules; learning barriers diagnosis; learning barriers probability; Adaptive control; Adaptive systems; Computer science; Cybernetics; Fuzzy reasoning; Fuzzy systems; Learning systems; Machine learning; System testing; Tin; Learning problems diagnosis; fuzzy rules; learning barrier detection; learning barriers analysis; learning guidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620939
  • Filename
    4620939