Title: The Impact of Providing Adaptive Courses for Students based on their Preferred Learning Styles

Year of Publication: Apr - 2014
Page Numbers: 461-467
Authors: Mohammad Salih Al-Ali, Masita Abdul Jalil and Mohd Hafiz Yusoff
Conference Name: The International Conference on Computing Technology and Information Management (ICCTIM2014)
- United Arab Emirates


Our the past 3 decades a large number and variety of learning styles have been identified and used to discover what is considered as a preferred learning style. The detection of learning style of the student is the first step to providing learners with courses that fit their preferred learning styles to let them learn better. In this paper, our goal was to determine students' learning styles based on the Felder-Silverman learning style model and then to provide them with a course that fits their first preferred learning style in order to know whether there is a relationship between providing a course that suits their learning style and their achievement. Forty students were involved in this study where the results showed that the most preferred learning style for students was the visual style, and they got better results than others.