• DocumentCode
    1923575
  • Title

    Managing the data in electronic learning systems

  • Author

    Rostanin, Oleg ; Schewe, Klaus-Dieter ; Thalheim, Bernhard ; Tretiakov, Alexei

  • Author_Institution
    German Res. Inst. for Artificial Intelligence (DFKI), Kaiserslauten, Germany
  • fYear
    2004
  • fDate
    30 Aug.-1 Sept. 2004
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    Web-based electronic learning systems provide one of the most exciting areas in research with a huge practical impact. However, as these systems are also examples of data-intensive systems, it is astounding how little emphasis is put onto the management of data in these systems. In this article, we present a two-level approach to data modeling in e-learning systems. We suggest modeling a global database level, in which the collection of data of the whole system is modeled in a way that follows the guidelines of good database design. On top of this level we model learning units as extended views. The use of views allows a system modeler to separate course content from underlying database structures. The extension of the learning units by operations models system functionality. Further extensions permit adaptivity to various learner types and end-devices.
  • Keywords
    Internet; computer aided instruction; data models; database management systems; Web-based electronic learning systems; data management; data modeling; data-intensive systems; e-learning systems; global database level; system modeling; Artificial intelligence; Content management; Databases; Electronic learning; Guidelines; Information systems; Management information systems; Navigation; Resource description framework; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2004. Proceedings. IEEE International Conference on
  • Print_ISBN
    0-7695-2181-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2004.1357444
  • Filename
    1357444