Evaluating E-learning systems success: An empirical study
By Dimah Al-Fraihat, Mike S. Joy, Ra'ed Masa'deh, Jane E. Sinclair. Computers in Human Behavior, 2020
1,239 citations recorded by the source corpus.
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.
Subfields: Communication, Education, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/19949e5b2a2d8e7c579523610d772507ff31067f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Education
In Information Systems and Management
Citations in the corpus
- Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach (2021, methodology): “” Hence, to enhance the explanatory power of the D&M model, scholars have indicated that additional research is required to explore additional quality factors of e-learning systems [10].”