Publication: An Approach for the Personalization of Exercises Based on Contextualized Attention Metadata and Semantic Web technologies
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2010
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Ieee - The Institute Of Electrical And Electronics Engineers, Inc
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Abstract
The generation of Contextualized Attention Metadata (CAM) allows to retrieve information about the different actions that users execute over different resources in a specific context. This paper presents how CAM is used within a learning system to personalize help provided to students while working on online exercises. We outline our approach and present two application examples within this framework for the personalization of exercises with hints.
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Proocedings of: 10th IEEE International Conference on Advanced Learning Technologies (ICALT 2010). Sousse, Tunisia, 5-7 July 2010.
Keywords
Adaptive and Personalized Technologyenhanced Learning, Semantic Web and Ontologies for Learning Systems, Knowledge and Competence Management
Bibliographic citation
10th IEEE International Conference on Advanced Learning Technologies, (2010). IEEE, 89-91.