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Quality Ontology for Recommendation in an Adaptive Educational System

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4 Author(s)
Gasparini, I. ; Dept. de Cienc. da Comput., Univ. do Estado de Santa Catarina, Joinville, Brazil ; Lichtnow, D. ; Pimenta, M.S. ; de Oliveira, J.P.M.

In this paper, we present an ontology-based and student' model to recommend the most suited material of study for each student in e-learning environments. Our aim is to increment the current systems personalization capabilities for student's in different scenarios making use of learning objects ontology. This approach is being developed in an e-learning environment: the AdaptWeb system. The main features of the recommendations aspects for student's profile are described and we use some examples to discuss and illustrate how to provide this personalization.

Published in:

Intelligent Networking and Collaborative Systems, 2009. INCOS '09. International Conference on

Date of Conference:

4-6 Nov. 2009