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Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions

The research focuses on the scenario of e-learning websites, particularly within the context of Higher Education Institutions (HEIs). These websites face a significant challenge in engaging students, and there is a lack of user interface design guidelines that foster emotional engagement. As a resul...

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Main Author: Alberto Aning
Format: Thesis
Language:English
English
Published: 2023
Subjects:
LB2326.4-2330 Institutions of higher education
Online Access:https://eprints.ums.edu.my/id/eprint/40768/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/40768/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/40768/
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spelling my.ums.eprints.407682024-09-02T07:40:26Z https://eprints.ums.edu.my/id/eprint/40768/ Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions Alberto Aning LB2326.4-2330 Institutions of higher education The research focuses on the scenario of e-learning websites, particularly within the context of Higher Education Institutions (HEIs). These websites face a significant challenge in engaging students, and there is a lack of user interface design guidelines that foster emotional engagement. As a result, student disengagement becomes a prevalent issue on these e-learning platforms. To address this problem, the research proposes the application of Kansei engineering (KE), a user-oriented technology that examines the emotional needs of consumers and establishes the relationship between emotions and product design elements. By utilizing KE principles in the design process of e-learning websites, the goal is to create a positive emotional impact on users, eliciting feelings of delight, engagement, trust, and contentment. The objective of the research is to develop a guideline specifically for the user interface design (UID) of e-learning websites in HEIs. This guideline aims to assist website developers and designers in creating e-learning platforms that sustain students' interest and engagement over time. To evaluate the effectiveness of the proposed UID guideline, the research conducted an evaluation using an electroencephalogram (EEG) device. The results showed that 65% of the participants fell into the "Most Effective" category, with the highest average effectiveness rating reaching 32.6%. These findings demonstrate that the developed guideline significantly increased student engagement with the UID of the e-learning website prototype. Overall, the research emphasizes the importance of considering emotional engagement in the design of e-learning websites. By incorporating Kansei engineering principles, HEIs and website developers can create e-learning platforms that effectively capture and sustain students' interest, thereby enhancing the overall effectiveness of e-learning experiences. 2023 Thesis NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/40768/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/40768/2/FULLTEXT.pdf Alberto Aning (2023) Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions. Masters thesis, Universiti Malaysia Sabah.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic LB2326.4-2330 Institutions of higher education
spellingShingle LB2326.4-2330 Institutions of higher education
Alberto Aning
Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
description The research focuses on the scenario of e-learning websites, particularly within the context of Higher Education Institutions (HEIs). These websites face a significant challenge in engaging students, and there is a lack of user interface design guidelines that foster emotional engagement. As a result, student disengagement becomes a prevalent issue on these e-learning platforms. To address this problem, the research proposes the application of Kansei engineering (KE), a user-oriented technology that examines the emotional needs of consumers and establishes the relationship between emotions and product design elements. By utilizing KE principles in the design process of e-learning websites, the goal is to create a positive emotional impact on users, eliciting feelings of delight, engagement, trust, and contentment. The objective of the research is to develop a guideline specifically for the user interface design (UID) of e-learning websites in HEIs. This guideline aims to assist website developers and designers in creating e-learning platforms that sustain students' interest and engagement over time. To evaluate the effectiveness of the proposed UID guideline, the research conducted an evaluation using an electroencephalogram (EEG) device. The results showed that 65% of the participants fell into the "Most Effective" category, with the highest average effectiveness rating reaching 32.6%. These findings demonstrate that the developed guideline significantly increased student engagement with the UID of the e-learning website prototype. Overall, the research emphasizes the importance of considering emotional engagement in the design of e-learning websites. By incorporating Kansei engineering principles, HEIs and website developers can create e-learning platforms that effectively capture and sustain students' interest, thereby enhancing the overall effectiveness of e-learning experiences.
format Thesis
author Alberto Aning
author_facet Alberto Aning
author_sort Alberto Aning
title Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
title_short Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
title_full Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
title_fullStr Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
title_full_unstemmed Visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
title_sort visualisation pattern guidelines for emotional engagement in e-learning website for higher education institutions
publishDate 2023
url https://eprints.ums.edu.my/id/eprint/40768/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/40768/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/40768/
_version_ 1809140090872528896
score 13.211869

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