DEVELOPMENT OF AN ONTOLOGY-BASED ADAPTIVE PERSONALIZED E-LEARNING SYSTEM
Olutayo BOYINBODE
okboyinbode@futa.edu.ngThe Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure (Nigeria)
Paul OLOTU
The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure (Nigeria)
Kolawole AKINTOLA
The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure (Nigeria)
Abstract
E-learning has fast become an active field of research with a lot of investments towards web-based delivery of personalized learning contents to learners. Some issues of e-learning arise from the heterogeneity and interoperability of learning content adapting to learner's styles and preferences. This has brought about the development of an ontology-based personalized learning system to solve this problem. This research developed an ontology-based personalized e-learning system that presents suitable learning contents to learners based on their learning style, preferences, background knowledge, and personal profile.
Keywords:
Felder-Silverman Learning Style Model, Item response theory, Ontology, Learning ability, Difficulty levelReferences
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Authors
Olutayo BOYINBODEokboyinbode@futa.edu.ng
The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure Nigeria
Authors
Paul OLOTUThe Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure Nigeria
Authors
Kolawole AKINTOLAThe Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure Nigeria
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