Title :
Quality Ontology for Recommendation in an Adaptive Educational System
Author :
Gasparini, Isabela ; Lichtnow, Daniel ; Pimenta, Marcelo S. ; de Oliveira, J.P.M.
Author_Institution :
Dept. de Cienc. da Comput., Univ. do Estado de Santa Catarina, Joinville, Brazil
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.
Keywords :
computer aided instruction; ontologies (artificial intelligence); recommender systems; AdaptWeb system; adaptive educational system; e-learning environments; ontology-based model; personalization capabilities; quality ontology; student model; Adaptive systems; Context modeling; Cultural differences; Electronic learning; Intelligent networks; International collaboration; Joining materials; Ontologies; Q factor; Web pages; Adaptive systems; Quality factor; User modeling;
Conference_Titel :
Intelligent Networking and Collaborative Systems, 2009. INCOS '09. International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-5165-4
Electronic_ISBN :
978-0-7695-3858-7
DOI :
10.1109/INCOS.2009.11
