An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies

Date

2017-09

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

International Conference on Education and E-learning

Type

Conference

Peer reviewed

Yes

Abstract

Ontology are increasingly being used in a variety of applications, and particularly in adaptive e-learning. They have the potential to enable developers to create adaptive course content for specified domains. E-learning applications are thus able to use technology and educational content in order to generate content that matches the student's capabilities and knowledge. This personalises learning, rather than assuming that "one-size-fits-all" and providing all learners with the same content, which is what the majority of e-learning systems do. This study introduces a new approach that takes into account the fact that each learner has an individual learning style and needs. The approach enables to adapt the course content, teaching strategy and learning objects so that they correspond to each student’s learning styles. This is achieved with the use of artificial intelligent in the form of an ontology and rule-based reasoning. The proposed system takes some of the key design aspects such as extensibility, reusability, and maintainability into consideration in order to enhance performance of adaptive course content recommendation.

Description

Keywords

E-learning, Ontology, Semantic web, Adaptive Student Profile, learning style, teaching strategy

Citation

Nafea, S., Siewe, F. and He, Y. (2017) An Adaptive Learning Ontological Framework Based on Learning Styles and Teaching Strategies. Proceedings of 85th ISERD International Conference, Cairo, Egypt, 11th-12th September 2017

Rights

Research Institute

Cyber Technology Institute (CTI)