An E-Learning Investigation into Learning Style Adaptivity

Mohammad Alshammari; Rachid Anane; Robert J. Hendley

doi:10.1109/HICSS.2015.13

An E-Learning Investigation into Learning Style Adaptivity

Mohammad Alshammari, Rachid Anane, Robert J. Hendley

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

256 Downloads (Pure)

Abstract

Traditional e-learning systems are typically designed for generic learners irrespective of individual requirements. In contrast, adaptive e-learning systems take into account learner characteristics such as learning style and level of knowledge in order to provide more personalised learning. The contribution of this paper is threefold. First, a generic adaptive framework aimed at enhancing learning is proposed. Second, a specific approach to adaptivity based on learning style is put forward within the framework. Third, the framework is validated and the approach is evaluated in order to determine their effectiveness in learning provision in an adaptive e-learning system. An experiment conducted with 60 participants produced positive results. They indicate that adapting instructional material according to learning style yields significantly better learning outcome and learner satisfaction than without adaptation.

Original language	English
Title of host publication	Proceedings of the 48th Annual Hawaii International Conference on System Sciences (HICSS 2015)
Editors	Tung X Bui, Ralph H. Sprague, Jr.
Publisher	IEEE Computer Society Press
Pages	11-20
Volume	2015
Edition	48
ISBN (Print)	978-1-4799-7367-5
DOIs	https://doi.org/10.1109/HICSS.2015.13
Publication status	Published - 9 Jan 2015
Event	48th Annual Hawaii International Conference on System Sciences (HICSS 2015) - Kauai, Hawaii Duration: 5 Jan 2015 → 8 Jan 2015

Conference

Conference	48th Annual Hawaii International Conference on System Sciences (HICSS 2015)
City	Kauai, Hawaii
Period	5/01/15 → 8/01/15

Keywords

adaptive e-learning systems
educational technologies
learner/student model
learning style

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Cite this

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title = "An E-Learning Investigation into Learning Style Adaptivity",

abstract = "Traditional e-learning systems are typically designed for generic learners irrespective of individual requirements. In contrast, adaptive e-learning systems take into account learner characteristics such as learning style and level of knowledge in order to provide more personalised learning. The contribution of this paper is threefold. First, a generic adaptive framework aimed at enhancing learning is proposed. Second, a specific approach to adaptivity based on learning style is put forward within the framework. Third, the framework is validated and the approach is evaluated in order to determine their effectiveness in learning provision in an adaptive e-learning system. An experiment conducted with 60 participants produced positive results. They indicate that adapting instructional material according to learning style yields significantly better learning outcome and learner satisfaction than without adaptation.",

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booktitle = "Proceedings of the 48th Annual Hawaii International Conference on System Sciences (HICSS 2015)",

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Alshammari, M, Anane, R & Hendley, RJ 2015, An E-Learning Investigation into Learning Style Adaptivity. in TX Bui & RH Sprague, Jr. (eds), Proceedings of the 48th Annual Hawaii International Conference on System Sciences (HICSS 2015). 48 edn, vol. 2015, IEEE Computer Society Press, pp. 11-20, 48th Annual Hawaii International Conference on System Sciences (HICSS 2015), Kauai, Hawaii, 5/01/15. https://doi.org/10.1109/HICSS.2015.13

An E-Learning Investigation into Learning Style Adaptivity. / Alshammari, Mohammad; Anane, Rachid; Hendley, Robert J.
Proceedings of the 48th Annual Hawaii International Conference on System Sciences (HICSS 2015). ed. / Tung X Bui; Ralph H. Sprague, Jr. Vol. 2015 48. ed. IEEE Computer Society Press, 2015. p. 11-20.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Traditional e-learning systems are typically designed for generic learners irrespective of individual requirements. In contrast, adaptive e-learning systems take into account learner characteristics such as learning style and level of knowledge in order to provide more personalised learning. The contribution of this paper is threefold. First, a generic adaptive framework aimed at enhancing learning is proposed. Second, a specific approach to adaptivity based on learning style is put forward within the framework. Third, the framework is validated and the approach is evaluated in order to determine their effectiveness in learning provision in an adaptive e-learning system. An experiment conducted with 60 participants produced positive results. They indicate that adapting instructional material according to learning style yields significantly better learning outcome and learner satisfaction than without adaptation.

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An E-Learning Investigation into Learning Style Adaptivity

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Keywords

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