• DocumentCode
    3097433
  • Title

    Intelligent reflective e-portfolio framework based on artificial intelligent Expert systems techniques

  • Author

    Jaryani, Farhang ; Sahibudin, Shamsul ; Ibrahim, Suhaimi ; Rahman, Noorihan Abdul ; Daruis, Rusni

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
  • Volume
    2
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    214
  • Lastpage
    216
  • Abstract
    The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method for each student based on their backgrounds and their realities. This paper analyzes the role of AI-Expert Systems to enhance learning smartness. The final vision of intelligent reflective e-portfolio is to act as an expert to consult students and support them to make Right decisions for their learning complexities.
  • Keywords
    artificial intelligence; computer aided instruction; data mining; expert systems; AI expert system; artificial intelligent expert system; customized learning method; data mining; intelligent reflective e-portfolio; Educational institutions; Expert systems; Humans; Learning systems; Portfolios; Artificial intelligence; Expert systems; Reflective e-portfolio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5764117
  • Filename
    5764117