1887

n Mousaion - Predicting the acceptance of electronic learning by academic staff at the University of Zululand, South Africa

Volume 33, Issue 4
  • ISSN : 0027-2639
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Abstract

In this article the authors provide a quantitative method to predict the acceptance of electronic learning resources by academic staff in a blended learning environment at the University of Zululand (UNIZULU), KwaDlangezwa, South Africa. Conceptually the study followed a positivist epistemological belief and deductive reasoning, but the article will also embrace the interpretive research paradigm to include the researchers' insights on the results. Inferential statistics were used to predict the level of acceptance of e-learning and show the strengths and significances of the postulated Unified Theory of Acceptance and Use of Technology (UTAUT) model's relationships. The results showed that the majority of academic staff accept the use of e-learning resources. The study concludes that the UTAUT model's moderate accuracy and relevance could be improved by adopting contextualised socio-economic moderators relevant to the education sector rather than adopting those found to be significant in the financial sector of Venkatesh et al.'s (2003) study. The study would thus recommend, firstly, the provision of useful resources that will improve both teaching and learning, and, secondly, the provision of appropriate skills development and support for these resources. Another recommendation is the introduction of user policies to instil mandatory use of these resources by academic staff while concluding that the social influence relationship will strengthen with the increased interactions and relationships between management, academic staff and support staff.

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/content/mousaion/33/4/EJC185823
2015-01-01
2016-12-11

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