Personalised learning materials based on dyslexia types: ontological approach

Conference paper


Alsobhi, A., Khan, N. and Rahanu, H. 2015. Personalised learning materials based on dyslexia types: ontological approach. 19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2015). Singapore Elsevier. pp. 113-121
TypeConference paper
TitlePersonalised learning materials based on dyslexia types: ontological approach
AuthorsAlsobhi, A., Khan, N. and Rahanu, H.
Abstract

In recent years, e-learning systems have played an increasingly important role in higher education and, in particular, in enhancing learning experiences for individuals who have learning difficulties. However, it appears that many of the people involved in the development and implementation of e-learning tools overlook the needs of dyslexic students. As such, these students lack access to the resources on offer to other students and this leads to a disability divide. In order for educational initiatives to be effective, learning experiences need to be tailored to the individual needs of each student and the materials and tools employed should be aligned with the student’s needs, capabilities and learning objectives. The objective of this research was to propose an ontology that will facilitate the development of learning methods and technologies that are aligned with dyslexia types and symptoms. The paper commences with a discussion of domain ontology and examines how learning objectives that take into consideration a student’s capabilities and needs can be matched with appropriate assistive technology in order to deliver effective e-learning experiences and educational resources that can be consistently employed. The ontology employed within this study was developed using Ontology Web Language (OWL), an information processing system that allows applications to handle both the content and the presentation of the information available on the web. Two characteristics were employed within this research to describe each resource: dyslexia type and the features of assistive
technologies that were deemed to be most appropriate for educational experiences targeted at each dyslexia type.

KeywordsDyslexia; Personalisation; E-learning; Ontology; Assistive Technologies (ATs);
LanguageEnglish
Conference19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2015)
Page range113-121
ISSN1877-0509
PublisherElsevier
Publication dates
Print07 Sep 2015
Publication process dates
Deposited28 Apr 2015
Output statusPublished
Publisher's version
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Additional information

Available online 1 September 2015

Web address (URL)http://dx.doi.org/10.1016/j.procs.2015.08.110
Book titleProcedia Computer Science, Volume 60, Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings
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