• DocumentCode
    3194816
  • Title

    Learner´s state analysis model using rough set theory in e-learning

  • Author

    Yu, Pu-yong ; Sang, Sheng-ju ; Qiao, Sai

  • Author_Institution
    Dept. of Inf. Sci. & Technol., TaiShan Univ., Taian, China
  • Volume
    1
  • fYear
    2012
  • fDate
    3-5 Aug. 2012
  • Firstpage
    121
  • Lastpage
    124
  • Abstract
    Paper proposes an approach of e-learning system for mining the learner´s state. The learner´s state means the degree of enthusiasm of the students. E-learning system must not only have complete knowledge Structure and should also be intelligent to analyze the state of the learner to facilitate guide and motivate. Rough set theory is a powerful tool for extracting rules. Based on time parameters, this paper proposes the rules mining process and methods of learner´s state using rough set theory.
  • Keywords
    computer aided instruction; data mining; rough set theory; e-Iearning system; intelligent system; knowledge structure; learner state analysis model; learner state mining; rough set theory; rule extraction; rule mining process; time parameters; Least squares approximation; Set theory; Vectors; Discretization; data mining; e-learning; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology in Medicine and Education (ITME), 2012 International Symposium on
  • Conference_Location
    Hokodate, Hokkaido
  • Print_ISBN
    978-1-4673-2109-9
  • Type

    conf

  • DOI
    10.1109/ITiME.2012.6291262
  • Filename
    6291262