Quality Ontology for Recommendation in an Adaptive Educational System

  • Authors:
  • Isabela Gasparini;Daniel Lichtnow;Marcelo S. Pimenta;José Palazzo M. de Oliveira

  • Affiliations:
  • -;-;-;-

  • Venue:
  • INCOS '09 Proceedings of the 2009 International Conference on Intelligent Networking and Collaborative Systems
  • Year:
  • 2009

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Abstract

In this paper, we present an ontology-based and student麓 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麓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麓s profile are described and we use some examples to discuss and illustrate how to provide this personalization.