- Title
- Determinants of cloud computing: adoption and application by high school learners
- Creator
- Nyembezi, Nceba
- Subject
- Cloud computing -- Study and teaching -- South Africa -- Eastern Cape
- Subject
- High schools -- Computer networks -- South Africa -- Eastern Cape
- Subject
- High school students -- South Africa -- Eastern Cape
- Date Issued
- 2014
- Date
- 2014
- Type
- Thesis
- Type
- Doctoral
- Type
- PhD (Education)
- Identifier
- http://hdl.handle.net/10353/1339
- Identifier
- vital:26547
- Identifier
- Cloud computing -- Study and teaching -- South Africa -- Eastern Cape
- Identifier
- High schools -- Computer networks -- South Africa -- Eastern Cape
- Identifier
- High school students -- South Africa -- Eastern Cape
- Description
- The current study investigated the determinants of Internet services’ adoption and use among high school learners in the East London Education District, in the Eastern Cape. Underpinned by the Unified Theory of Acceptance and Use of Technology, the research questions included: (1) What is the effect of performance expectancy on the learner’s intention to adopt and use Internet services? (2) What degree of variation exists for effort expectancy on the learner’s intention to adopt and use Internet services? (3) How much of the determinants explain the usage of Internet services? (4) Which is (are) the best predictor(s) of Internet service usage given a set of determinants? (5) What is the effect of confounding variables (if any) on Internet services’ adoption and usage? (6) Which model can be designed based on the best predictor(s) of Internet services’ adoption and usage for secondary school learners? A quantitative approach based on the positivist paradigm was used to quantify the relationships among various factors that contribute to Internet services’ adoption and use. The research design used was a survey. Data were collected through structured questionnaires. Out of 286 questionnaires issued, the response rate was 40.6%. The study sample size was 116 high school learners using simple random sampling. The data was analysed using the multiple regression analysis technique, and Pearson correlations. Out of the four determinants from the UTAUT, performance expectancy was the strongest predictor of intention to adopt Internet services. Large positive correlations ranging from r = 0.638 up to r = 0.989 were found among performance expectancy and effort expectancy variables towards the intention to use Internet services, significant at p < 0.05. To enhance the efficiency of the UTAUT model, this study has designed the Adoption and Application of Technology for Learning (AATL) model, which added the price of Internet, persistent use of Internet, and perceptions about Internet use.
- Format
- 291 leaves; 30 cm
- Format
- Publisher
- University of Fort Hare
- Publisher
- Faculty of Education
- Language
- English
- Rights
- University of Fort Hare
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