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Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance o...

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Autores principales: Prasetyo, Yogi Tri, Roque, Ralph Andre C., Chuenyindee, Thanatorn, Young, Michael Nayat, Diaz, John Francis T., Persada, Satria Fadil, Miraja, Bobby Ardiansyah, Perwira Redi, Anak Agung Ngurah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305344/
https://www.ncbi.nlm.nih.gov/pubmed/34206155
http://dx.doi.org/10.3390/healthcare9070780
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author Prasetyo, Yogi Tri
Roque, Ralph Andre C.
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Persada, Satria Fadil
Miraja, Bobby Ardiansyah
Perwira Redi, Anak Agung Ngurah
author_facet Prasetyo, Yogi Tri
Roque, Ralph Andre C.
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Persada, Satria Fadil
Miraja, Bobby Ardiansyah
Perwira Redi, Anak Agung Ngurah
author_sort Prasetyo, Yogi Tri
collection PubMed
description eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.
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spelling pubmed-83053442021-07-25 Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach Prasetyo, Yogi Tri Roque, Ralph Andre C. Chuenyindee, Thanatorn Young, Michael Nayat Diaz, John Francis T. Persada, Satria Fadil Miraja, Bobby Ardiansyah Perwira Redi, Anak Agung Ngurah Healthcare (Basel) Article eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide. MDPI 2021-06-22 /pmc/articles/PMC8305344/ /pubmed/34206155 http://dx.doi.org/10.3390/healthcare9070780 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Prasetyo, Yogi Tri
Roque, Ralph Andre C.
Chuenyindee, Thanatorn
Young, Michael Nayat
Diaz, John Francis T.
Persada, Satria Fadil
Miraja, Bobby Ardiansyah
Perwira Redi, Anak Agung Ngurah
Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_full Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_fullStr Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_full_unstemmed Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_short Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_sort determining factors affecting the acceptance of medical education elearning platforms during the covid-19 pandemic in the philippines: utaut2 approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305344/
https://www.ncbi.nlm.nih.gov/pubmed/34206155
http://dx.doi.org/10.3390/healthcare9070780
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