Authors
Amal Zouaq, Roger Nkambou
Publication date
2009/2/20
Journal
IEEE Transactions on Knowledge and Data Engineering
Volume
21
Issue
6
Pages
881-893
Publisher
IEEE
Description
The reusability in learning objects has always been a hot issue. However, we believe that current approaches to e-Learning failed to find a satisfying answer to this concern. This paper presents an approach that enables capitalization of existing learning resources by first creating "content metadatardquo through text mining and natural language processing and second by creating dynamically learning knowledge objects, i.e., active, adaptable, reusable, and independent learning objects. The proposed model also suggests integrating explicitly instructional theories in an on-the-fly composition process of learning objects. Semantic Web technologies are used to satisfy such an objective by creating an ontology-based organizational memory able to act as a knowledge base for multiple training environments.
Total citations
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Scholar articles
A Zouaq, R Nkambou - IEEE Transactions on Knowledge and Data …, 2009