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 :
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