Exploring University Students’ Acceptance in Online Learning Using Technology Acceptance Model (TAM)

Abstract

This study aims to examine the factors affecting behavioural intention to use video-based learning among higher education’s students. The study used technology of acceptance model (TAM) to identify the factors that predict intention to use video-based learning. These study used a cross-sectional quantitative study design involving 243 university students. The data was collected using an online survey due to the COVID-19 restrictions. The proposed hypotheses were analysed using correlation and multiple linear regression. Results of this research revealed that perceived ease of use and perceived usefulness have a significant effect on the intention to use video based learning. The practical implications inform policymakers and educational institutions on how video-based adoption can be enhanced. In this context, perceived ease of use and perceived usefulness are identified as predictors of intention to use video-based learning among higher education’s students.