Al-Fraihat, Dimah, Joy, Mike, Masa'deh, Ra'ed and Sinclair, Jane (2020) Evaluating E-learning systems success : an empirical study. Computers in Human Behavior, 102 . pp. 67-86. doi:10.1016/j.chb.2019.08.004 ISSN 0747-5632.
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Abstract
E-learning, as a direct result of the integration of technology and education, has emerged as a powerful medium of learning particularly using Internet technologies. The undeniable significance of e-learning in education has led to a massive growth in the number of e-learning courses and systems offering different types of services. Thus, evaluation of e-learning -systems is vital to ensure successful delivery, effective use, and positive impacts on learners. Based on an intensive review of the literature, a comprehensive model has been developed which provides a holistic picture and identifies different levels of success related to a broad range of success determinants. The model has been empirically validated by fitting the model to data collected from 563 students engaged with an e-learning system in one of the UK universities through a quantitative method of Partial Least Squares - Structural Equation Modelling (PLS-SEM). The determinants of e-learning perceived satisfaction are technical system quality, information quality, service quality, support system quality, learner quality, instructor quality, and perceived usefulness, which together explain 71.4% of the variance of perceived satisfaction. The drivers of perceived usefulness are technical system quality, information quality, support system quality, learner quality, and instructor quality, and these explain 54.2% of the variance of perceived usefulness. Four constructs were found to be the determinants of e-learning use, namely educational system quality, support system quality, learner quality, and perceived usefulness, and together they account for 34.1%. Finally, 64.7% of the variance of e-learning benefits was explained by perceived usefulness, perceived satisfaction, and use.
| Item Type: | Journal Article |
|---|---|
| Subjects: | L Education > LB Theory and practice of education L Education > LC Special aspects of education Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
| SWORD Depositor: | Library Publications Router |
| Library of Congress Subject Headings (LCSH): | Education -- Computer-assisted instruction, Educational innovations, Education -- Data processing, Education -- Effect of technological innovations on, Human-computer interaction |
| Journal or Publication Title: | Computers in Human Behavior |
| Publisher: | Elsevier BV |
| ISSN: | 0747-5632 |
| Official Date: | January 2020 |
| Dates: | Date Event January 2020 Published 9 August 2019 Available 6 August 2019 Accepted |
| Volume: | 102 |
| Page Range: | pp. 67-86 |
| DOI: | 10.1016/j.chb.2019.08.004 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 12 September 2019 |
| Date of first compliant Open Access: | 9 August 2020 |
| URI: | https://wrap.warwick.ac.uk/124656/ |
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