How need for interaction and self-regulated learning influence the acceptance of online education in an UTAUT framework
(A2022-107245)

AUTHORS

Ágnes Halász, Corvinus University of Budapest; Zsofia Kenesei, Corvinus University Budapest

ABSTRACT

In the spring of 2020, the COVID-19 virus forced higher education institutions around the world to introduce distance learning, which required a completely new teaching and learning strategy for higher education stakeholders and completely disrupted the traditional framework. The objective of this research is to explore the influence of students' personal characteristics related to education, such as the need for interaction and the ability to self-regulated learning, on the acceptance of online learning. We employ the UTAUT model and propose that these factors influence future intention to use the technology with the mediation of effort expectancy, expected performance and hedonic motivation. We used data from a questionnaire survey and tested the proposed hypotheses with the help of structural equation modelling. Among the factors in the model, expected performance, expected effort required and hedonic motivation had a direct effect on intention to use, while self-regulated learning and personal interaction need had an indirect effect.