TY - GEN
T1 - Predicting Factors Influencing the Actual Use of E-Learning Platform among Medical Students in the Philippines
T2 - 4th International Conference on Internet and E-Business, ICIEB 2024
AU - Benito, Omar Paolo
AU - Prasetyo, Yogi Tri
AU - Roque, Ralph Andre C.
AU - Flores, Fernan Patrick
AU - Cahigas, Maela Madel L.
AU - Nadlifatin, Reny
AU - Ayuwati, Irene Dyah
N1 - Publisher Copyright:
© 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2024/10/22
Y1 - 2024/10/22
N2 - eLearning has been utilized as a mode of instruction among medical students amidst the COVID-19 pandemic. The present study aimed to investigate the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines by employing the latent variables of UTAUT2, along with two additional latent variables gathered from various related literature. A sum of 360 medical students participated and answered an online survey that consists of 40 questions. A stepwise multiple linear regression was utilized and found that performance expectancy (PE), habit (HB), and instructor characteristics (IC), can successfully predict the actual use (AU) of medical students with a precision of 54.22%. A higher performance expectancy (PE), habit (HB), and instructor characteristics (IC) can enhance and promote the acceptance of medical eLearning platforms. This is the first study that has examined the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The outcomes of this research can serve as guidelines for the Commission on Higher Education of the Philippines for the enhancement of eLearning platforms. Although this study only utilized the latent variables of UTAUT2 along with two additional variables: Learning Value and Instructor Characteristics; the findings of this study would still hold significant value for promoting open innovation in eLearning platforms in medical fields worldwide.
AB - eLearning has been utilized as a mode of instruction among medical students amidst the COVID-19 pandemic. The present study aimed to investigate the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines by employing the latent variables of UTAUT2, along with two additional latent variables gathered from various related literature. A sum of 360 medical students participated and answered an online survey that consists of 40 questions. A stepwise multiple linear regression was utilized and found that performance expectancy (PE), habit (HB), and instructor characteristics (IC), can successfully predict the actual use (AU) of medical students with a precision of 54.22%. A higher performance expectancy (PE), habit (HB), and instructor characteristics (IC) can enhance and promote the acceptance of medical eLearning platforms. This is the first study that has examined the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The outcomes of this research can serve as guidelines for the Commission on Higher Education of the Philippines for the enhancement of eLearning platforms. Although this study only utilized the latent variables of UTAUT2 along with two additional variables: Learning Value and Instructor Characteristics; the findings of this study would still hold significant value for promoting open innovation in eLearning platforms in medical fields worldwide.
KW - Medical education
KW - Stepwise multiple linear regression
KW - UTAUT2
KW - eLearning platform
UR - http://www.scopus.com/inward/record.url?scp=85211377297&partnerID=8YFLogxK
U2 - 10.1145/3690001.3690028
DO - 10.1145/3690001.3690028
M3 - Conference contribution
AN - SCOPUS:85211377297
T3 - ACM International Conference Proceeding Series
SP - 63
EP - 69
BT - ICIEB 2024 - Proceedings of 2024 4th International Conference on Internet and E-Business
PB - Association for Computing Machinery
Y2 - 8 July 2024 through 10 July 2024
ER -