Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin

Over the past few years, virtual education institutions have adopted some form of online education. The Analytic Hierarchy Process (AHP) has been used in previous research to establish critical success factors. However, the AHP approach leads to a less-than-optimal result since it cannot account for...

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Main Authors: Mohd Zaki, Nor Syahazlin, Bidin, Jasmani
Format: Book Section
Language:English
Published: College of Computing, Informatics and Media, UiTM Perlis 2023
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Online Access:https://ir.uitm.edu.my/id/eprint/100232/1/100232.pdf
https://ir.uitm.edu.my/id/eprint/100232/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.100232
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spelling my.uitm.ir.1002322024-09-27T08:50:52Z https://ir.uitm.edu.my/id/eprint/100232/ Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin Mohd Zaki, Nor Syahazlin Bidin, Jasmani Learning. Learning strategies Fuzzy logic Over the past few years, virtual education institutions have adopted some form of online education. The Analytic Hierarchy Process (AHP) has been used in previous research to establish critical success factors. However, the AHP approach leads to a less-than-optimal result since it cannot account for the fuzziness. Several researchers have proposed the fuzzy sets theory as a way to improve AHP’s ability to cope with problems involving uncertainty and fuzziness. The purpose of this study is to use Fuzzy Analytic Hierarchy Process to rank the various factors and sub-factors that affect the success of e-learning. This research will look at four main factors, each of which has three sub-factors. Regarding the choice criteria for successful e-learning, this study focuses solely on the student’s and lecturer’s opinions. At the end of this research, both objectives were accomplished. The results of this study show that the quality of the infrastructure and system is the most important factor on the success of e-learning from the lecturer's perspective. For the most important sub-factors affecting e-learning success from the lecturer’s perspective, students’ attitudes toward e-learning ranked first. Besides, according to student’s perspectives, the most important factor in e-learning success is the characteristics of students toward e learning, and the sub-factor that ranked first is students’ attitudes toward e-learning. College of Computing, Informatics and Media, UiTM Perlis 2023 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/100232/1/100232.pdf Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin. (2023) In: Research Exhibition in Mathematics and Computer Sciences (REMACS 5.0). College of Computing, Informatics and Media, UiTM Perlis, pp. 157-158. ISBN 978-629-97934-0-3
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Learning. Learning strategies
Fuzzy logic
spellingShingle Learning. Learning strategies
Fuzzy logic
Mohd Zaki, Nor Syahazlin
Bidin, Jasmani
Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
description Over the past few years, virtual education institutions have adopted some form of online education. The Analytic Hierarchy Process (AHP) has been used in previous research to establish critical success factors. However, the AHP approach leads to a less-than-optimal result since it cannot account for the fuzziness. Several researchers have proposed the fuzzy sets theory as a way to improve AHP’s ability to cope with problems involving uncertainty and fuzziness. The purpose of this study is to use Fuzzy Analytic Hierarchy Process to rank the various factors and sub-factors that affect the success of e-learning. This research will look at four main factors, each of which has three sub-factors. Regarding the choice criteria for successful e-learning, this study focuses solely on the student’s and lecturer’s opinions. At the end of this research, both objectives were accomplished. The results of this study show that the quality of the infrastructure and system is the most important factor on the success of e-learning from the lecturer's perspective. For the most important sub-factors affecting e-learning success from the lecturer’s perspective, students’ attitudes toward e-learning ranked first. Besides, according to student’s perspectives, the most important factor in e-learning success is the characteristics of students toward e learning, and the sub-factor that ranked first is students’ attitudes toward e-learning.
format Book Section
author Mohd Zaki, Nor Syahazlin
Bidin, Jasmani
author_facet Mohd Zaki, Nor Syahazlin
Bidin, Jasmani
author_sort Mohd Zaki, Nor Syahazlin
title Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
title_short Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
title_full Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
title_fullStr Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
title_full_unstemmed Analyzing factors affecting to E-learning success by Fuzzy Analytic Hierarchy Process (FAHP) / Nor Syahazlin Mohd Zaki and Jasmani Bidin
title_sort analyzing factors affecting to e-learning success by fuzzy analytic hierarchy process (fahp) / nor syahazlin mohd zaki and jasmani bidin
publisher College of Computing, Informatics and Media, UiTM Perlis
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/100232/1/100232.pdf
https://ir.uitm.edu.my/id/eprint/100232/
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