• DocumentCode
    1842045
  • Title

    Advanced Adaptivity in Learning Management Systems by Considering Learning Styles

  • Author

    Graf, Sabine ; Kinshuk

  • Volume
    3
  • fYear
    2009
  • fDate
    15-18 Sept. 2009
  • Firstpage
    235
  • Lastpage
    238
  • Abstract
    Typical learning management systems consider only little or, in most cases, no adaptivity. In this paper, we introduce an adaptive mechanism which enables such systems to provide students with courses that fit their individual learning styles. The adaptive mechanism is based on an advanced student modelling approach which identifies learning styles by automatic, dynamic, and global student modelling. Based on the identified learning styles, the adaptive mechanism composes courses that match the students’ learning styles, aiming at making learning easier for students. Furthermore, the adaptive mechanism aims at being easy to use for teachers by being generic and adaptable for teachers, allowing them to adjust the mechanism to their course structure and preferences.
  • Keywords
    Conference management; Conferences; Education; Educational technology; Electronic learning; Intelligent agent; Least squares approximation; Management information systems; Psychology; Technology management; adaptivity; learning management systems; learning styles; student modelling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Milan, Italy
  • Print_ISBN
    978-0-7695-3801-3
  • Electronic_ISBN
    978-1-4244-5331-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2009.271
  • Filename
    5284970