DEVELOPMENT OF AN ONTOLOGY-BASED ADAPTIVE PERSONALIZED E-LEARNING SYSTEM

Olutayo  BOYINBODE; Paul  OLOTU; Kolawole AKINTOLA

doi:10.23743/acs-2020-30

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Published: Dec 30, 2020

DOI: https://doi.org/10.23743/acs-2020-30

Issue Vol. 16 No. 4 (2020)

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DEVELOPMENT OF AN ONTOLOGY-BASED ADAPTIVE PERSONALIZED E-LEARNING SYSTEM
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DOI

https://doi.org/10.23743/acs-2020-30

Authors

Olutayo BOYINBODE

okboyinbode@futa.edu.ng

The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure, Nigeria

Paul OLOTU

pkootu@futa.edu.ng

The Federal University of Technology, School of Computing, Department of Information Technology, FUTA Rd, Akure, Nigeria

Kolawole AKINTOLA

kgakintola@futa.edu.ng

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 level

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BOYINBODE, O. ., OLOTU, P. ., & AKINTOLA, K. (2020). DEVELOPMENT OF AN ONTOLOGY-BASED ADAPTIVE PERSONALIZED E-LEARNING SYSTEM. Applied Computer Science, 16(4), 64–84. https://doi.org/10.23743/acs-2020-30

DEVELOPMENT OF AN ONTOLOGY-BASED ADAPTIVE PERSONALIZED E-LEARNING SYSTEM

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