Quality Ontology for Recommendation in an Adaptive Educational System

Abstract

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.