Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems

Mohammad Alshammari; Rachid Anane; Robert J. Hendley

doi:10.1145/2851581.2892395

Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems

Mohammad Alshammari, Rachid Anane, Robert J. Hendley

Computer Science

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

9 Citations (Scopus)

343 Downloads (Pure)

Abstract

Designing effective and usable adaptive e-learning systems represents a challenge because of the complexity which arises when meeting the needs of learners. This is compounded by the lack of well-designed experimental evaluations of adaptive e-learning systems in general, and of their usability and effectiveness in particular. This paper offers an experimental evaluation of the effect of adaptation, taking into account both the perceived usability level and learning effectiveness. A controlled experiment was conducted with 75 participants and produced significant results. They indicate that an adaptive version has a significantly higher level of perceived usability and of learning effectiveness than a non-adaptive version.

Original language	English
Title of host publication	CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
Pages	2984-2991
ISBN (Print)	9781450340823
DOIs	https://doi.org/10.1145/2851581.2892395
Publication status	Published - 7 May 2016
Event	CHI 2016 Conference on Human Factors in Computing Systems - San Jose, CA, United States Duration: 7 May 2016 → 12 May 2016

Conference

Conference	CHI 2016 Conference on Human Factors in Computing Systems
Country/Territory	United States
City	San Jose, CA
Period	7/05/16 → 12/05/16

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10.1145/2851581.2892395

Alshammari_et_al_Usability_Effectiveness_Evaluation_Accepted
© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, http://doi.acm.org/10.1145/2851581.2892395 Checked 5/7/2016
Accepted author manuscript, 540 KBLicence: None: All rights reserved

Cite this

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title = "Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems",

abstract = "Designing effective and usable adaptive e-learning systems represents a challenge because of the complexity which arises when meeting the needs of learners. This is compounded by the lack of well-designed experimental evaluations of adaptive e-learning systems in general, and of their usability and effectiveness in particular. This paper offers an experimental evaluation of the effect of adaptation, taking into account both the perceived usability level and learning effectiveness. A controlled experiment was conducted with 75 participants and produced significant results. They indicate that an adaptive version has a significantly higher level of perceived usability and of learning effectiveness than a non-adaptive version.",

author = "Mohammad Alshammari and Rachid Anane and Hendley, {Robert J.}",

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booktitle = "CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems",

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note = "CHI 2016 Conference on Human Factors in Computing Systems ; Conference date: 07-05-2016 Through 12-05-2016",

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Alshammari, M, Anane, R & Hendley, RJ 2016, Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems. in CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems . Association for Computing Machinery , pp. 2984-2991, CHI 2016 Conference on Human Factors in Computing Systems , San Jose, CA, United States, 7/05/16. https://doi.org/10.1145/2851581.2892395

Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems. / Alshammari, Mohammad; Anane, Rachid; Hendley, Robert J.
CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems . Association for Computing Machinery , 2016. p. 2984-2991.

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

TY - GEN

T1 - Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems

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AU - Anane, Rachid

AU - Hendley, Robert J.

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N2 - Designing effective and usable adaptive e-learning systems represents a challenge because of the complexity which arises when meeting the needs of learners. This is compounded by the lack of well-designed experimental evaluations of adaptive e-learning systems in general, and of their usability and effectiveness in particular. This paper offers an experimental evaluation of the effect of adaptation, taking into account both the perceived usability level and learning effectiveness. A controlled experiment was conducted with 75 participants and produced significant results. They indicate that an adaptive version has a significantly higher level of perceived usability and of learning effectiveness than a non-adaptive version.

AB - Designing effective and usable adaptive e-learning systems represents a challenge because of the complexity which arises when meeting the needs of learners. This is compounded by the lack of well-designed experimental evaluations of adaptive e-learning systems in general, and of their usability and effectiveness in particular. This paper offers an experimental evaluation of the effect of adaptation, taking into account both the perceived usability level and learning effectiveness. A controlled experiment was conducted with 75 participants and produced significant results. They indicate that an adaptive version has a significantly higher level of perceived usability and of learning effectiveness than a non-adaptive version.

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Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems

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