E-Learning Adoption in Higher Education During Covid-19, A Comparative Analysis between Graduate and Undergraduate

Abstract

A spike in research on the intention to use online learning during the COVID-19 crisis has occurred. The aim of this study was to conduct a comparative analysis of the factors influencing the attitudes and willingness to use online learning platforms among graduate and undergraduate students, using an extended application of the TAM model. In this research, a deductive, quantitative approach has been used to test the hypotheses, drawing on data collected from 338 students across various public and private universities in Bangladesh. To conduct the data analysis, partial least squares structural equation modelling (PLS-SEM) was used, and SmartPLS version 3.2.7 was used. The relationships between SN and intention to use, PEOU, or PU, and between CSE and PU, and PU and students’ intention to adopt e-learning, have similar effects across graduate and undergraduate students. Quite the reverse, the relationship between Computer Self-Efficacy (CSE) and PEOU, and students’ intention to use e-learning technology, showed significantly different results when considering graduate and undergraduate students.