• DocumentCode
    1692956
  • Title

    Quality assessment for collections of learning resources

  • Author

    Rovinskiy, D. ; Synytsya, K. ; Podgornov, A.

  • Author_Institution
    Inf. Technol. & Syst., International Res. & Training Center UNESCO, Kyiv, Ukraine
  • fYear
    2003
  • Firstpage
    362
  • Lastpage
    363
  • Abstract
    We discuss some features of the learning resource collection that supports a set of learning objectives for some course. Two characteristics, compactness and completeness, are suggested as an important component of the collection quality assessment. To measure these characteristics, each resource is represented as a point in the multidimensional metadata space, and distribution of the resources within this space is analyzed. The results of such analysis presented may be used to improve management and maintenance of the collection and thus its quality for the users.
  • Keywords
    computer aided instruction; distance learning; meta data; distance learning; educational courses; learning resource collection; multidimensional metadata space; quality assessment; resource distribution; Aging; Computer aided instruction; Data mining; Extraterrestrial measurements; Face; Information technology; Multidimensional systems; Quality assessment; Quality management; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2003. Proceedings. The 3rd IEEE International Conference on
  • Print_ISBN
    0-7695-1967-9
  • Type

    conf

  • DOI
    10.1109/ICALT.2003.1215124
  • Filename
    1215124