• DocumentCode
    3589995
  • Title

    Rule based system of adaptive e-learning

  • Author

    Takacs, O.

  • Author_Institution
    Dept. of Inf. & Commun. Technol., Univ. of Ostrava, Ostrava, Czech Republic
  • fYear
    2014
  • Firstpage
    465
  • Lastpage
    470
  • Abstract
    This article describes rule based system of adaptive e-learning. Elemental part of this system are rules that are thoroughly described together with different types of their categorization. There is also briefly described the engine that uses this rules, how are they applied, how can they interoperate and collaborate and how are avoided all conflicts in rules. This rule based engine was used in adaptive system Barborka 4 that was used in two successful pedagogical experiments in two Ph. D. thesis.
  • Keywords
    computer aided instruction; knowledge based systems; adaptive e-learning; adaptive system; rule based engine; rule based system; Adaptation models; Adaptive systems; Electronic learning; Navigation; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging eLearning Technologies and Applications (ICETA), 2014 IEEE 12th International Conference on
  • Print_ISBN
    978-1-4799-7739-0
  • Type

    conf

  • DOI
    10.1109/ICETA.2014.7107629
  • Filename
    7107629