Predicting students’ intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology
| dc.contributor.author | . Marandu, Edward E | |
| dc.contributor.author | Mathew, Ivy Rose | |
| dc.contributor.author | Svotwa, Tendai Douglas | |
| dc.contributor.author | Machera, Robert P. | |
| dc.contributor.author | Jaiyeoba, Olumide | |
| dc.date.accessioned | 2026-09-14T16:36:31Z | |
| dc.date.issued | 2022-05 | |
| dc.description.abstract | The purpose of this study is to predict the intention to continue online learning post the coronavirus disease 2019 (COVID-19) pandemic among students in the two largest universities of higher learning in Botswana. Furthermore, the purposes of this study are to elucidate the nexus between performance expectancy and continuance intention to establish the effects of efforts expectancy on continuance intention to investigate the relationship between social influence and continuance intention to determine the relationship between facilitating conditions and continuance intention and examining the relationship between satisfaction and continuance intention using the extended unified theory of acceptance and usage technology (UTAUT) model postulated by Venkatesh et al. (2003) | en_US |
| dc.identifier.citation | Marandu, E.E., Mathew, I.R., Svotwa, T.D., Machera, R.P. and Jaiyeoba, O., 2022. Predicting students' intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology. Journal of Applied Research in Higher Education, | en_US |
| dc.identifier.uri | https://repository.bothouniversity.ac.bw/handle/123456789/173 | |
| dc.title | Predicting students’ intention to continue online learning post-COVID-19 pandemic: extension of the unified theory of acceptance and usage technology | en_US |
| dc.type | Article | en_US |