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Evaluating E-learning systems success : an empirical study
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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
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Official URL: https://doi.org/10.1016/j.chb.2019.08.004
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 | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science > Computer Science | ||||||||
| SWORD Depositor: | Library Publications Router | ||||||||
| Journal or Publication Title: | Computers in Human Behavior | ||||||||
| Publisher: | Elsevier BV | ||||||||
| ISSN: | 0747-5632 | ||||||||
| Official Date: | January 2020 | ||||||||
| Dates: |
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| Date of first compliant deposit: | 12 September 2019 | ||||||||
| Volume: | 102 | ||||||||
| Page Range: | pp. 67-86 | ||||||||
| DOI: | 10.1016/j.chb.2019.08.004 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Publisher Statement: | ** From Crossref via Jisc Publications Router | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
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