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Quality ontology for recommendation in an adaptive educationalsystem

Quality ontology for recommendation in an adaptive educationalsystem,10.1109/INCOS.2009.11,Isabela Gasparini,Daniel Lichtnow,Marcelo Soares Pimenta,J.

Quality ontology for recommendation in an adaptive educationalsystem   (Citations: 2)
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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.
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