The Library
Evaluating E-learning systems success : an empirical study
Tools
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.
|
PDF
WRAP-evaluating-e-learning-systems-success-study-Joy-2019.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1583Kb) | Preview |
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 | ||||||||
---|---|---|---|---|---|---|---|---|---|
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: |
|
||||||||
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 |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year