• DocumentCode
    3143897
  • Title

    A Framework for Using Web Usage Mining to Personalise E-learning

  • Author

    Ba-Omar, Hafidh ; Petrounias, Ilias ; Anwar, Fahad

  • Author_Institution
    Univ. of Manchester, Manchester
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    937
  • Lastpage
    938
  • Abstract
    Web usage mining can contribute to finding significant educational knowledge. It can play a vital role in the personalisation aspects of any domain. We propose a framework for personalizing e-learning that necessitates careful attention towards individual learning styles. We focus on identifying learning patterns of learners and the sequence of choosing learning resources in relation to their learning styles. A prototype for an adaptive Web based course has been developed where the learning environment is modifying its behaviour to reflect learning styles.
  • Keywords
    Internet; data mining; distance learning; educational courses; Web usage mining; adaptive Web based course; educational knowledge; individual learning styles; learning resources; personalise e-learning; Association rules; Cleaning; Data mining; Electronic learning; Informatics; Natural languages; Pattern analysis; Prototypes; Software tools; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
  • Conference_Location
    Niigata
  • Print_ISBN
    0-7695-2916-X
  • Type

    conf

  • DOI
    10.1109/ICALT.2007.13
  • Filename
    4281208