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

Yogi Tri Prasetyo; Ralph Andre C Roque; Thanatorn Chuenyindee; Michael Nayat Young; John Francis T Diaz; Satria Fadil Persada; Bobby Ardiansyah Miraja; Anak Agung Ngurah Perwira Redi

doi:10.3390/healthcare9070780

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

Healthcare (Basel). 2021 Jun 22;9(7):780. doi: 10.3390/healthcare9070780.

Authors

Yogi Tri Prasetyo¹, Ralph Andre C Roque^{1

2}, Thanatorn Chuenyindee^{1

2

3}, Michael Nayat Young¹, John Francis T Diaz⁴, Satria Fadil Persada⁵, Bobby Ardiansyah Miraja⁵, Anak Agung Ngurah Perwira Redi⁶

Affiliations

¹ School of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, Philippines.
² School of Graduate Studies, Mapua University, 658 Muralla St., Intramuros, Manila 1002, Philippines.
³ Logistics and Supply Chain Management Program, Nakhon Pathom Rajabhat University, Nakhon Pathom 73000, Thailand.
⁴ Department of Finance and Accounting, Asian Institute of Management, 123 Paseo de Roxas, Legazpi Village, Makati 1229, Philippines.
⁵ Department of Business Management, Institut Teknologi Sepuluh November, Kampus ITS Sukolilo, Surabaya 60111, Indonesia.
⁶ Industrial Engineering Department, BINUS Graduate Program-Master of Industrial Engineering, Bina Nusantara University, Jakarta 11480, Indonesia.

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.

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