Rural-based Science, Technology, Engineering and Mathematics teachers’ and learners’ acceptance of mobile learning
South African Journal of Information Management
Field | Value | |
Title | Rural-based Science, Technology, Engineering and Mathematics teachers’ and learners’ acceptance of mobile learning | |
Creator | Mutambara, David Bayaga, Anass | |
Description | Background: Science, Technology, Engineering and Mathematics (STEM) is faced with many challenges resulting in learners’ poor performance at matriculation level in South Africa. However, prior research has shown that mobile learning (m-learning) can be used to alleviate the challenges of STEM education. Prior research focused on tertiary institutions’ students and lecturers, in developed countries. However, very little is known about rural school STEM teachers’ and learners’ acceptance of m-learning.Objectives: The article investigates factors that rural-based STEM teachers and learners consider important when adopting mobile learning. Furthermore, the study also seeks to examine if there is a statistically significant difference between teachers’ and learners’ acceptance of mobile learning.Method: The research employed a quantitative approach. Stratified random sampling was used to select 350 teachers and learners to participate in the survey. Valid questionnaires received were 288 (82%), and data were analysed using partial least squares structural equation modelling.Results: The proposed model explained 64% of the variance in rural-based STEM teachers’ and learners’ behavioural intention to use m-learning. Perceived attitude towards use was found to be the best predictor of teachers’ and learners’ behavioural intention. The results also showed no significant difference between teachers’ and learners’ path coefficients.Conclusion: The research recommends that awareness campaigns, infrastructure, mobile devices and data need to be made available for m-learning to be successfully adopted in rural areas. | |
Publisher | AOSIS | |
Date | 2020-09-18 | |
Identifier | 10.4102/sajim.v22i1.1200 | |
Source | SA Journal of Information Management; Vol 22, No 1 (2020); 10 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/1200/1724
https://sajim.co.za/index.php/sajim/article/view/1200/1723
https://sajim.co.za/index.php/sajim/article/view/1200/1725
https://sajim.co.za/index.php/sajim/article/view/1200/1722
|
|
ADVERTISEMENT