Usability and Effectiveness Evaluation of Adaptivity in E-Learning Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

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 proceedingConference contribution

Harvard

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

APA

Alshammari, M., Anane, R., & Hendley, R. J. (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 (pp. 2984-2991). Association for Computing Machinery . https://doi.org/10.1145/2851581.2892395

Vancouver

Alshammari M, Anane R, Hendley RJ. 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 . 2016. p. 2984-2991 https://doi.org/10.1145/2851581.2892395

Author

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

Bibtex

@inproceedings{573a82e3718d46a0963ee34ab3b23e51,
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.}",
year = "2016",
month = may,
day = "7",
doi = "10.1145/2851581.2892395",
language = "English",
isbn = "9781450340823 ",
pages = "2984--2991",
booktitle = "CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems",
publisher = "Association for Computing Machinery ",
note = "CHI 2016 Conference on Human Factors in Computing Systems ; Conference date: 07-05-2016 Through 12-05-2016",

}

RIS

TY - GEN

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

AU - Alshammari, Mohammad

AU - Anane, Rachid

AU - Hendley, Robert J.

PY - 2016/5/7

Y1 - 2016/5/7

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.

U2 - 10.1145/2851581.2892395

DO - 10.1145/2851581.2892395

M3 - Conference contribution

SN - 9781450340823

SP - 2984

EP - 2991

BT - CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - CHI 2016 Conference on Human Factors in Computing Systems

Y2 - 7 May 2016 through 12 May 2016

ER -