Understanding students’ satisfaction and continuance intention of e-learning: Application of expectation–confirmation model
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Abstract
The evolution of technologies leads to the great significance of e-learning in the domain of education. Recognition of the crucial factors which influence learners’ aims towards continued use of e-learning would guide teachers, learners and e-learning developers to increase e-learning use. To this end, the present study investigates the Expectation-Confirmation Model (ECM) factors of Post-Adoption Expectation (PAE) which is explored via using language learners’ post-adoption experiences in the use of e-learning systems. Learning process, tutor interaction, peer interaction, and course design are the four factors identified used for extending the perception of language learners’ experiences in e-learning. The survey method was used to empirically validate the suggested model (ECM) of the present study. A total sample of 120 Iranian university students participated in the study.
In order to investigate the proposed model, structural equation modelling employing Smart PLS 2.0 was run. The findings indicate that learners’ confirmation of using e-learning has a significant effect on the four aforementioned factors. Learning process and course design are the only two factors that have a significant effect on users’ satisfaction and continuance intention. On the other hand, the results showed that tutor interaction and peer interaction do not have a significant effect on predicting learners’ satisfaction and continuance intention of e-learning systems.
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Keywords: e-learning, students’ satisfaction, students’ continuance intention, expectation-confirmation model, post-adoption expectation
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