ERIC Number: EJ871332
Record Type: Journal
Publication Date: 2009
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1478-2103
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Available Date: N/A
Supporting Self-Regulated Personalised Learning through Competence-Based Knowledge Space Theory
Steiner, Christina M.; Nussbaumer, Alexander; Albert, Dietrich
Policy Futures in Education, v7 n6 p645-661 2009
This article presents two current research trends in e-learning that at first sight appear to compete. Competence-Based Knowledge Space Theory (CBKST) provides a knowledge representation framework which, since its invention by Doignon & Falmagne, has been successfully applied in various e-learning systems (for example, Adaptive Learning with Knowledge Spaces [ALEKS] and Enhanced Learning Experience and Knowledge Transfer [ELEKTRA]), providing automated personalisation to learners' current knowledge and competence levels. Principles of self-regulated learning (SRL), pioneered by, for example, Zimmerman, however, argue for increased learner control, thus resulting in giving learners greater responsibility over their e-learning. The research presented in this article shows that skill-based visualisations in the tradition of CBKST and SRL-based autonomy are in no way conflicting but rather complement each other towards an integrated approach of self-regulated personalised learning. The research has been carried out and technologically translated into a set of visual tools for supporting the whole learning cycle within the scope of the iClass project. (Contains 1 note and 10 figures.)
Descriptors: Electronic Learning, Instructional Design, Learning Processes, Learning Experience, Learner Controlled Instruction, Competency Based Education, Individualized Instruction, Cognitive Processes, Models, Educational Technology, Educational Theories
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Adult Education
Audience: N/A
Language: English
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