Isabela Gasparini, Daniel Lichtnow, M. Pimenta, J. Oliveira
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Quality Ontology for Recommendation in an Adaptive Educational System
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.