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Competence-Based Knowledge Structures for Personalised Learning

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Heller, J., Steiner, C., Hockemeyer, C. & Albert, D. (2006). Competence-Based Knowledge Structures for Personalised Learning. International Journal on E-Learning, 5(1), 75-88. Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/21759.

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Journal Information

IJEL

International Journal on E-Learning
ISSN 1537-2456
Volume 5, Issue 1, 2006
Association for the Advancement of Computing in Education (AACE)  Chesapeake, VA

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Table of Contents


Authors

Juergen Heller, Christina Steiner, Cord Hockemeyer, Dietrich Albert, University of Graz, Austria

Abstract

Competence-based extensions of Knowledge Space Theory are suggested as a formal framework for implementing key features of personalised learning in technology-enhanced learning. The approach links learning objects and assessment problems to the relevant skills that are taught or required. Various ways to derive these skills from domain ontologies are discussed in detail. Moreover, it is shown that the approach induces structures on the assessment problems and learning objects, respectively, that can serve as a basis for an efficient adaptive assessment of the learners' skills, and for selecting personalised learning paths.

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