Recommending Learning Materials according to Ontology-based Learning Styles

Personalized online systems have been developed to make learning more effective. One of the ways to achieve this personalization is to recommend the use of learning materials according to learning styles. However, information on learning materials and learning styles must be formalized to make automatic processing by the computer possible. The objective of this work is to propose an ontology that allows the recommendation of learning materials according to learning styles. The experiments presented here have proved that the use of ontology to meet the established objective is viable.