Abdulwahab , Hassan (2023) e-Learning adoption model for tertiary institutions in Southwest Nigeria / Abdulwahab Hassan. Masters thesis, Universiti Malaya.
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Abstract
The adoption of E-learning model in tertiary institutions in Nigerian cannot be over emphasized, as the model has grown over time and has been implemented across other institutions, mostly private institutions in Nigeria. The research focuses on adopting a model for the implementation of E-learning across universities in South West Nigeria. The literature review shows that factors such as perceived ease of use, perceived usefulness, e-learning self-efficacy, perceived barriers, intention to use, perceived instructor quality, perceived satisfaction, technological skills, perceived cost, instructional environment and learning styles, impact E-learning adoption. A case study of federal universities in South West Nigeria was utilized, alongside quantitative research of which questionnaire was employed as the research instrument. A total of 370 correspondents participated across 5 federal universities in South West Nigeria. The reliability test showed a value of 0.881 and was considered valid. The regression analysis indicated that perceived ease of use, intention to use, e-learning self-efficacy, perceived barriers, perceived usefulness, instructional environment, and learning style have a relationship with E-learning adoption. A new model was proposed based on the regression analysis. Thus, the researcher recommends that e-learning adoption in tertiary institutions in Southwest Nigeria should be enhanced by creating enabling instructional environment as well as taking into account the learning styles of students.
Item Type: | Thesis (Masters) |
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Additional Information: | Dissertation (M.A.) – Faculty of Computer Science & Information Technology, Universiti Malaya 2023. |
Uncontrolled Keywords: | E-learning; E-learning model; Perceived ease of use; Self-efficacy; Intention to use |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Computer Science & Information Technology > Dept of Computer System & Technology |
Depositing User: | Mr Mohd Safri Tahir |
Date Deposited: | 06 Nov 2024 07:08 |
Last Modified: | 06 Nov 2024 07:08 |
URI: | http://studentsrepo.um.edu.my/id/eprint/15302 |
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