Acceptance and use of technology in online learning in higher education: A student perspective

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data obtained were then analyzed using variance-based SEM-PLS. The study findings show the adoption and utilization of technology in online education for university students are excellent. In addition, the structural analysis shows that all hypotheses developed in the model have a solid and significant direct and indirect correlation. Four predictors tested as a model, namely performance expectancy, effort expectancy, social influence, and facilitating conditions can predict behavioral intentions. Furthermore, behavioral intentions influence usage behavior positively and significantly. The conclusion of this study makes it clear that the UTAUT model can predict the acceptance and use of technology in online learning for university students. This study provides practical implications for university managers and policymakers to build students' trust in the technology offered by providing easy access and facilities according to their needs and expectations. Facilitating conditions including performance, adequate internet network access and compatible technology need to be considered by all parties so that the use of technology can be carried out smoothly.