• DocumentCode
    466462
  • Title

    Cognitive Structural Modelling of Skills for Technology-Enhanced Learning

  • Author

    Albert, Dietrich ; Hockemeyer, Cord ; Mayer, Birgit ; Steiner, Christina M.

  • Author_Institution
    Univ. of Graz, Graz
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    322
  • Lastpage
    324
  • Abstract
    This paper suggests the combination of cognitive and structural modelling as a formal framework for intelligent learning systems. It takes up the distinction between declarative (conceptual) and procedural (action) knowledge in the sense of ACT-R. Additionally, prerequisite relations between skills of a domain are captured according to Competence-based Knowledge Space Theory. Benefits, drawbacks, and TEL applications of the outlined modelling approaches are discussed.
  • Keywords
    cognition; learning (artificial intelligence); cognitive structural modelling; knowledge space theory; technology-enhanced learning; Cognition; Cognitive science; Education; Educational technology; Intelligent structures; Intelligent systems; Learning systems; Production; Psychology; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
  • Conference_Location
    Niigata
  • Print_ISBN
    0-7695-2916-X
  • Type

    conf

  • DOI
    10.1109/ICALT.2007.94
  • Filename
    4281022
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=466462