• DocumentCode
    2831393
  • Title

    Discovering Learning Objects Usability Characteristics

  • Author

    Zapata, Alfredo ; Menendez, Victor H. ; Prieto, Manuel E.

  • Author_Institution
    Fac. de Educ., Univ. Autonoma de Yucatan, Merida, Mexico
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 2 2009
  • Firstpage
    1126
  • Lastpage
    1130
  • Abstract
    Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user´s profiles, and log files from Learning Objects management systems.
  • Keywords
    data mining; learning (artificial intelligence); activity log registers; data mining; knowledge extraction; learning objects management system; learning objects usability characteristics; metadata; quality evaluations; repositories; Data mining; Electronic learning; Environmental management; Intelligent systems; Knowledge management; Ontologies; Project management; Quality management; Sorting; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4244-4735-0
  • Electronic_ISBN
    978-0-7695-3872-3
  • Type

    conf

  • DOI
    10.1109/ISDA.2009.184
  • Filename
    5364148