Literature DB >> 34206155

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

Yogi Tri Prasetyo1, Ralph Andre C Roque1,2, Thanatorn Chuenyindee1,2,3, Michael Nayat Young1, John Francis T Diaz4, Satria Fadil Persada5, Bobby Ardiansyah Miraja5, Anak Agung Ngurah Perwira Redi6.   

Abstract

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.

Entities:  

Keywords:  UTAUT2; eLearning platform; medical education; structural equation modeling

Year:  2021        PMID: 34206155     DOI: 10.3390/healthcare9070780

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


  11 in total

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2.  Continuing education via eLearning: Adopted by the General Assembly: September 2019, San Francisco, United States of America.

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Journal:  Int Dent J       Date:  2020-02       Impact factor: 2.607

3.  COVID-19: The need to heed distress calls of healthcare workers.

Authors:  Hazel T Biana; Jeremiah Joven B Joaquin
Journal:  J Public Health (Oxf)       Date:  2020-11-23       Impact factor: 2.341

Review 4.  COVID-19 infection: Origin, transmission, and characteristics of human coronaviruses.

Authors:  Muhammad Adnan Shereen; Suliman Khan; Abeer Kazmi; Nadia Bashir; Rabeea Siddique
Journal:  J Adv Res       Date:  2020-03-16       Impact factor: 10.479

5.  Students' perception of online learning during the COVID-19 pandemic: A survey study of Polish medical students.

Authors:  Michał Bączek; Michalina Zagańczyk-Bączek; Monika Szpringer; Andrzej Jaroszyński; Beata Wożakowska-Kapłon
Journal:  Medicine (Baltimore)       Date:  2021-02-19       Impact factor: 1.817

6.  Doctors' Perceptions of E-Prescribing upon Its Mandatory Adoption in Poland, Using the Unified Theory of Acceptance and Use of Technology Method.

Authors:  Natalia Wrzosek; Agnieszka Zimmermann; Łukasz Balwicki
Journal:  Healthcare (Basel)       Date:  2020-12-15

7.  Online Problem-Based Learning in Clinical Dental Education: Students' Self-Perception and Motivation.

Authors:  Mariana Morgado; José João Mendes; Luís Proença
Journal:  Healthcare (Basel)       Date:  2021-04-05

8.  Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach.

Authors:  Yogi Tri Prasetyo; Allysa Mae Castillo; Louie John Salonga; John Allen Sia; Thanatorn Chuenyindee; Michael Nayat Young; Satria Fadil Persada; Bobby Ardiansyah Miraja; Anak Agung Ngurah Perwira Redi
Journal:  Foods       Date:  2021-05-27

9.  Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior.

Authors:  Yogi Tri Prasetyo; Allysa Mae Castillo; Louie John Salonga; John Allen Sia; Joshua Adam Seneta
Journal:  Int J Infect Dis       Date:  2020-08-06       Impact factor: 3.623

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  4 in total

1.  Factors predicting University students' behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with 'Learning Value'.

Authors:  Georgios Zacharis; Kleopatra Nikolopoulou
Journal:  Educ Inf Technol (Dordr)       Date:  2022-05-25

2.  Determinants of Behavioral Intention and Use of Interactive Whiteboard by K-12 Teachers in Remote and Rural Areas.

Authors:  Ying Zhou; Xinxin Li; Tommy Tanu Wijaya
Journal:  Front Psychol       Date:  2022-06-17

3.  Comparative analysis of variables that influence behavioral intention to use MOOCs.

Authors:  Singha Chaveesuk; Bilal Khalid; Magdalena Bsoul-Kopowska; Eugenia Rostańska; Wornchanok Chaiyasoonthorn
Journal:  PLoS One       Date:  2022-04-12       Impact factor: 3.240

4.  An Abrupt Transition to Digital Teaching-Norwegian Medical Students and Their Experiences of Learning Output during the Initial Phase of the COVID-19 Lockdown.

Authors:  Henriette K Helland; Thorkild Tylleskär; Monika Kvernenes; Håkon Reikvam
Journal:  Healthcare (Basel)       Date:  2022-01-17
  4 in total

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