An Investigation into Matching Learning Material to the Different Needs of Arabic Learners with Dyslexia

Abstract

Dyslexia is a common learning disability that affects people’s ability to spell, read words and their fluency in language. Adaptive e-learning is becoming increasingly popular as a tool to help individuals with dyslexia. It provides more-customised learning experiences and interactions based on the learners’ characteristics. Each learner with dyslexia has unique characteristics for which content should ideally be suitably tailored. However, adaptation to satisfy the individual needs and characteristics of learners with dyslexia is limited. In particular, the benefits of adapting e-learning based on dyslexia type or reading skill level have not yet been sufficiently explored, despite the type of dyslexia and the learner’s reading skill level being critical factors. Most previous studies have focused upon the technological aspects and have been marked by inadequately designed and controlled experiments to assess the system’s effectiveness. This limits the ability to understand the effectiveness of adaptation. This thesis aims to increase understanding about the value of adaptation of learning material based on individual dyslexia types and reading skill levels and to understand how this affects the learning experience of learners with dyslexia. To do this, an empirical evaluation through three controlled experiments with a reasonable number of subjects has been undertaken and assessed using the following metrics: learning gain, word understanding, learner satisfaction and perceived level of usability. In all three experiments, careful experimental design and precise reporting of results are all considered. A dynamic, web-based e-learning system that matches learning material based on dyslexia type and/or reading skill level was implemented to support these experiments. Across the three experiments, the findings reveal that matching learning material to dyslexia type, reading skill level and the combination of both, yields significantly better short- and long-term learning gains and improves the learners’ perception of their learning.