• DocumentCode
    1614755
  • Title

    Using automatic metadata generation to reduce the knowledge and time requirements for making SCORM learning objects

  • Author

    Edvardsen, Lars Fredrik Høimyr ; Sølvberg, Ingeborg Torvik ; Aalberg, Trond ; Tratteberg, H.

  • Author_Institution
    Intell. Commun. AS, Oslo, Norway
  • fYear
    2009
  • Firstpage
    253
  • Lastpage
    258
  • Abstract
    The Internet is packed with resources which can be used for educational purposes, referred to as Learning Objects (LOs). Locating the LO which is best suited for your educational purposes can be extremely challenging. This since the context surrounding the LO in regards to intended user group, educational level etc. are not included in the resource. The SCORM standard has changed this by including contextual metadata as part of the resource. However, SCORM LOs are scarcely created, much as a result of high knowledge and time requirements needed for creating the necessary metadata. This research has been using Automatic Metadata Generation tools to assist in the metadata creation process, enabling LOs to share common contextual metadata while receiving additional high quality LO specific metadata without the need for manual metadata creation efforts.
  • Keywords
    Internet; computer aided instruction; meta data; Internet; SCORM learning objects; automatic metadata generation tools; contextual metadata; educational purposes; knowledge requirements; time requirements; Data mining; Ecosystems; Electronic mail; Humans; Information retrieval; Information science; Least squares approximation; Standards publication; Technology management; Testing; Algorithms; Experimentation; Reliability; Verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-2345-3
  • Electronic_ISBN
    978-1-4244-2346-0
  • Type

    conf

  • DOI
    10.1109/DEST.2009.5276729
  • Filename
    5276729