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Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)
An Ontology-Based Framework for Authoring Assisted by Recommendation
Niigata, Japan
July 18-July 20
ISBN: 0-7695-2916-X
Sasa Nesic, University of Lugano, Switzerland
Dragan Gasevic, Athabasca University, Canada
Mehdi Jazayeri, University of Lugano, Switzerland
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framework that captures the information about the interaction between learning objects (LOs) and four main roles in the educational process (content author, instructional designer, teacher, and learner), and then according to this information proposes the most relevant learning content to the author. The central part of the framework is the Request- Recommendation ontology that formalizes the author?s request along with a set of learning content proposals (recommendation), as a response to that request. Furthermore, we propose the use of a weighting scheme to calculate the weight of the content proposals and thus enable their ranking within the recommendation.
Citation:
Sasa Nesic, Dragan Gasevic, Mehdi Jazayeri, "An Ontology-Based Framework for Authoring Assisted by Recommendation," icalt, pp.227-231, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007
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