Predicting Intention to Use Smart Education Technology during the COVID-19 Pandemic: The Case of Higher Education Students in Thailand

Abstract

This study aims to predict the intention to use smart education technology during the COVID-19 pandemic among higher education students in Thailand. The determinants of intention to use smart education technology adopt the technology acceptance model (TAM) through the mediating effect of student satisfaction. The online convenience sampling collected data from 238 higher education students in Thailand to confirm the theoretical framework. The data were analysed using SPSS Version 27 and the partial least square structural equation model (PLS-SEM). The findings support that the TAM model comprises perceived ease of use and perceived usefulness. Student satisfaction is a significant mediator between the TAM model and the intention to use smart education technology. However, the TAM model has no significant direct effect on the intention to use smart education technology. This study may benefit educators and instructors in improving the intention to use smart education technology by adopting the TAM model and student satisfaction. Moreover, the results could apply in any sector to improve the intention to use smart technology through predictors of the TAM model and mediating role of users’ satisfaction.