Educational quality and technological complexity on recognition of enhanced learning platform in developing countries using PLS-SEM in a post COVID era.
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| Title: | Educational quality and technological complexity on recognition of enhanced learning platform in developing countries using PLS-SEM in a post COVID era. |
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| Authors: | Idoga, Patience E. (AUTHOR), Oluwajana, Dokun Iwalewa (AUTHOR), Adeshola, Ibrahim (AUTHOR) |
| Source: | Educational Technology Research & Development. Dec2022, Vol. 70 Issue 6, p2255-2273. 19p. |
| Subjects: | Educational quality, Technological complexity, Developing countries, COVID-19, Digital learning, Educational technology |
| Geographic Terms: | Nigeria |
| Abstract: | The e-learning platform provides a new teaching-learning channel in which instructors provide information to learners irrespective of method used to access the platform. The purpose of this study is to examine instructors' acceptance of e-learning in Nigerian universities. The study adopted a quantitative approach, with a total of 299 questionnaires collected from instructors. The result was analyzed using PLS-SEM. The study results indicate the factors affecting instructors' adoption of e-learning platforms and the subsequent impact on instructors' behavioral intention, and consequenly, an impact on the acceptance of the e-learning platform in Nigeria. Based on the study, self-efficacy, educational quality, and ease of use, perceive usefulness, and behavioral intention were found to be predictors for instructors' acceptance of the e-learning platform in Nigeria. Also, the results drawn from the study revealed that there are individual challenges that come from the use of the e-learning platform. We discussed both theoretical and educational implications. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Technology Research & Development is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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