• DocumentCode
    3143425
  • Title

    Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems

  • Author

    Williams, Fionán Peter ; Conlan, Owen

  • Author_Institution
    Trinity Coll. Dublin, Dublin
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    872
  • Lastpage
    876
  • Abstract
    This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of providing users of personalized e-Learning systems with a means of visualizing the complex space in which they learn, with the aim of supporting the development of meta- cognitive insight pertaining to their individual learning style. It also provides course authors with a novel means of understanding how learners used their courses over time, thereby enabling them to detect usage patterns and diagnose problems.
  • Keywords
    cognition; computer aided instruction; individual learning style; personalized e-learning system; usage pattern detection; user cognition; Adaptive systems; Cognition; Data engineering; Data visualization; Educational institutions; Electronic learning; History; Humans; Monitoring; Prototypes;
  • 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.2007.282
  • Filename
    4281180