Students' Satisfaction in Learning Style-Based Adaptation

M. Alshammari, R. Anane, R.J. Hendley

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    7 Citations (Scopus)
    51 Downloads (Pure)


    Initiatives based on learning style adaptation are often marked by a lack of experimental evaluation of their efficacy in general and of student satisfaction in particular. A high level of satisfaction can increase the motivation of students, their engagement and experience, and therefore improve their learning. This paper is concerned with the investigation of the effect of adaptation based on learning style on students' satisfaction. An adaptive approach, which involves the construction of personalised learning paths based on learning style, was implemented in an adaptive e-learning system. A controlled experiment in this learning environment was conducted with sixty undergraduate students to evaluate their level of satisfaction with the system. The results indicate that the students were generally satisfied with their learning experience. It can be concluded that adaptation of learning content according to learning style can improve student satisfaction and enhance their experience and motivation.
    Original languageEnglish
    Title of host publicationAdvanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
    Publication statusPublished - 2015
    EventICALT - Hualien, Taiwan, Province of China
    Duration: 6 Jul 20159 Jul 2015


    Country/TerritoryTaiwan, Province of China

    Bibliographical note

    This paper was given at the 2015 IEEE 15th International Conference on Advanced Learning Technologies (ICALT), 6-9 July 2015 in Hualien
    © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.


    • adaptive e-learning
    • experimental evaluation
    • information perception
    • learning style
    • student satisfaction


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