• DocumentCode
    2152342
  • Title

    SCORM Based LMS Model Design Using Hybrid Base and Hybrid Reasoning

  • Author

    Jeong, Gu-Beom ; Park, Kyung-Ok ; Song, Yeong-Tae ; Alhazme, R.

  • Author_Institution
    Kyungpook Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    10-12 Aug. 2011
  • Firstpage
    193
  • Lastpage
    194
  • Abstract
    Thanks to the advances in development technologies and the services in learning management systems (LMS), e-learning has become the popular choice in academia, government, and private industries when delivering learning contents. Sharable Content Object Reference Model (SCORM), a standard for LMS, was initially specified by Advanced Distributed Learning (ADL), to meet the needs of the U.S. Department of Defense(DoD) for reusable, accessible, interoperable and durable web-based learning contents. In order to make efficient use of the learning contents, it is necessary for LMS to create directories by subject and to provide a federated search that covers heterogeneous information distributed over various locations. In this paper, we propose a SCORM based on LMS model that performs hybrid reasoning using hybrid base. It utilizes both rule base and case base when present search results.
  • Keywords
    Internet; computer aided instruction; military computing; SCORM; U.S. Department of Defense; Web-based learning contents; advanced distributed learning; e-learning; hybrid base; hybrid reasoning; learning management system model design; sharable content object reference model; Cognition; Educational institutions; Electronic learning; Indexing; Least squares approximation; Metasearch; Servers; Hybrid Base; Hybrid Reasoning; LMS; SCORM; e-Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Research, Management and Applications (SERA), 2011 9th International Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    978-1-4577-1028-5
  • Type

    conf

  • DOI
    10.1109/SERA.2011.42
  • Filename
    6065640