A personalized adaptive e-learning approach based on semantic web technology

Article


Yarandi, Maryam, Jahankhani, H. and Tawil, A. 2013. A personalized adaptive e-learning approach based on semantic web technology. Webology. 10 (2), p. Art.110.
AuthorsYarandi, Maryam, Jahankhani, H. and Tawil, A.
Abstract

Recent developments in semantic web technologies heightened the need for online adaptive learning environment. Adaptive learning is an important research topic in the field of web-based systems as there are no fixed learning paths which are appropriate for all learners. However, most studies in this field have only focused on learning styles and habits of learners. Far too little attention has been paid on understanding the ability of learners. Therefore, it is becoming increasingly difficult to ignore adaptation in the field of e-learning systems. Many researchers are adopting semantic web technologies to find new ways for designing adaptive learning systems based on describing knowledge using ontological models. Ontologies have the potential to design content and learner models required to create adaptive e-learning systems based on various characteristics of learners. The aim of this paper is to present an ontology-based approach to develop adaptive e-learning system based on the design of semantic content, learner and domain models to tailor the teaching process for individual learner’s needs. The proposed new adaptive e-learning has the ability to support personalization based on learner’s ability, learning style, preferences and levels of knowledge. In our approach the ontological user profile is updated based on achieved learner’s abilities.

KeywordsPersonalized learning; E-learning; Ontology
JournalWebology
Journal citation10 (2), p. Art.110
ISSN1735-188X
Year2013
PublisherWebology
Publisher's version
License
CC BY-NC-ND
Web address (URL)http://www.webology.org/2013/v10n2/toc.html
Publication dates
PrintDec 2013
Publication process dates
Deposited20 Jan 2014
Copyright informationThe copyright of articles submitted to the journal are published under the terms of the Creative Commons License (CC-BY-NC-ND). Therefore, the copyright of articles accepted for Webology rests with the author(s).
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