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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

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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 > 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:
DateEvent
January 2020Published
9 August 2019Available
6 August 2019Accepted
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

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