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Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance

The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was review...

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Main Authors: Jabar, Juhaini, Hasim, Mohamad Aidil, Sufian, Atirah, Ibrahim, Nor Fauziana, Abdul Khalid, Fararisha
Format: Article
Language:English
Published: Eurasian Society of Educational Research 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27340/3/EU-JER_12_1_467.pdf
http://eprints.utem.edu.my/id/eprint/27340/
https://pdf.eu-jer.com/EU-JER_12_1_467.pdf
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spelling my.utem.eprints.273402024-07-04T10:58:50Z http://eprints.utem.edu.my/id/eprint/27340/ Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance Jabar, Juhaini Hasim, Mohamad Aidil Sufian, Atirah Ibrahim, Nor Fauziana Abdul Khalid, Fararisha The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was reviewed and approved by eight panel members or experts. It was analyzed using Fuzzy Delphi Logic (FUDELO 1.0) software. The data were evaluated using triangular fuzzy numbering and the position (ranking) of each variable was established through defuzzification. The findings revealed that all of the items received high levels of expert agreement, significantly greater α-cut defuzzification values >.5, the overall value of the threshold (d) is less than .2 and had to comply with the overall percentage of percent consensus, which must be greater than 75%. All 45 recommended items were retained adequately and acceptable for a large-scale survey in this study. Finally, each item was prioritized (ranked) based on the defuzzification value, and then some additional items were added, as recommended by experts. Eurasian Society of Educational Research 2023-01 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27340/3/EU-JER_12_1_467.pdf Jabar, Juhaini and Hasim, Mohamad Aidil and Sufian, Atirah and Ibrahim, Nor Fauziana and Abdul Khalid, Fararisha (2023) Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance. European Journal of Educational Research, 12 (1). pp. 467-480. ISSN 2165-8714 https://pdf.eu-jer.com/EU-JER_12_1_467.pdf 10.12973/eu-jer.12.1.467
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was reviewed and approved by eight panel members or experts. It was analyzed using Fuzzy Delphi Logic (FUDELO 1.0) software. The data were evaluated using triangular fuzzy numbering and the position (ranking) of each variable was established through defuzzification. The findings revealed that all of the items received high levels of expert agreement, significantly greater α-cut defuzzification values >.5, the overall value of the threshold (d) is less than .2 and had to comply with the overall percentage of percent consensus, which must be greater than 75%. All 45 recommended items were retained adequately and acceptable for a large-scale survey in this study. Finally, each item was prioritized (ranked) based on the defuzzification value, and then some additional items were added, as recommended by experts.
format Article
author Jabar, Juhaini
Hasim, Mohamad Aidil
Sufian, Atirah
Ibrahim, Nor Fauziana
Abdul Khalid, Fararisha
spellingShingle Jabar, Juhaini
Hasim, Mohamad Aidil
Sufian, Atirah
Ibrahim, Nor Fauziana
Abdul Khalid, Fararisha
Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
author_facet Jabar, Juhaini
Hasim, Mohamad Aidil
Sufian, Atirah
Ibrahim, Nor Fauziana
Abdul Khalid, Fararisha
author_sort Jabar, Juhaini
title Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
title_short Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
title_full Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
title_fullStr Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
title_full_unstemmed Employing fuzzy Delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
title_sort employing fuzzy delphi techniques to validate the components and contents of e-learning antecedents and usage behavior towards e-learning performance
publisher Eurasian Society of Educational Research
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27340/3/EU-JER_12_1_467.pdf
http://eprints.utem.edu.my/id/eprint/27340/
https://pdf.eu-jer.com/EU-JER_12_1_467.pdf
_version_ 1804070313314484224
score 13.211869

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