• DocumentCode
    2735308
  • Title

    A Framework for Assessing Usage of Web-Based e-Learning Systems

  • Author

    Chan, Chien-Chung

  • Author_Institution
    Univ. of Akron, Akron
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    147
  • Lastpage
    147
  • Abstract
    The knowledge of students enables an e-learning system to provide individualized lessons for each student. This paper presents the use of web usage mining method to discover the knowledge of students from their usage sequences. The structure of lessons offered by an e- learning system can be used as website ontology to facilitate usage mining. We also present a framework for representing assessment results and usage patterns by a hierarchy of flow graphs, which can be used as decision algorithms for evaluating relationships between usage patterns and performance of students. Usage patterns can be translated into decision rules or trees for predicting student performance and for providing timely lessons.
  • Keywords
    Web sites; data mining; decision trees; distance learning; ontologies (artificial intelligence); Web usage mining method; Web-based e-learning systems; Website ontology; decision algorithms; decision rules; decision trees; flow graphs hierarchy; usage patterns; usage sequences; Computer science; Electronic learning; Flow graphs; Intelligent systems; Learning systems; Ontologies; Sections; Testing; Tree graphs; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.23
  • Filename
    4427792