Investigating university academics behavioural intention in the adoption of e-learning in a time of COVID-19
South African Journal of Information Management
| Field | Value | |
| Title | Investigating university academics behavioural intention in the adoption of e-learning in a time of COVID-19 | |
| Creator | Jere, Joseph N. | |
| Description | Background: The coronavirus disease of 2019 (COVID-19) has extensively impacted various sectors globally, including higher education. The indefinite closure of Universities has necessitated the need to introduce alternative teaching and learning methods and tools. E-learning a disruptive innovation has provided an opportunity to allow for continuity of teaching and learning in Universities during these closures.Objectives: The study adopts Teo's model as the analytical tool to investigate factors that influence University lecturers to adopt e-learning platforms in South Africa.Method: The study followed a quantitative research approach with stratified sampling as a data collection approach using a sample size of 132 respondents. Structural Equation Modelling (SEM) was adopted to deduce factors that influence the behavioural Intention (BIU) to adopt e-learning as well as to test the Model fit of Teo's model in the South African context. Results: The study revealed that the lecturer's attitude towards the use (ATU) of e-learning is the most influential construct towards lecturers behavioural Intention to use (BIU) e-learning platforms. The empirical evidence also revealed that Teo's model is a reasonable fit to the data to understand the adoption of e-learning by lecturers in South African universities.Conclusion: The empirical evidence from this study supports the viewpoint that in order for lecturers to successfully adopt e-learning platforms, their attitude towards the use of these platforms is a critical factor. In order to understand lecturer’s adoption of e-learning platforms successfully, Teo's model is a reasonably good framework to use. | |
| Publisher | AOSIS | |
| Date | 2020-12-21 | |
| Identifier | 10.4102/sajim.v22i1.1280 | |
| Source | SA Journal of Information Management; Vol 22, No 1 (2020); 9 pages 1560-683X 2078-1865 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://sajim.co.za/index.php/sajim/article/view/1280/1846
https://sajim.co.za/index.php/sajim/article/view/1280/1845
https://sajim.co.za/index.php/sajim/article/view/1280/1847
https://sajim.co.za/index.php/sajim/article/view/1280/1844
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