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An empirical study on behavioural intention to reuse e-learning systems in rural China

Research Output: Contribution to journal Article Peer-review

Open access

Abstract

The learner's acceptance of e-learning systems has received extensive attention in prior studies, but how their experience of using e-learning systems impacts on their behavioural intention to reuse those systems has attracted limited research. As the applications of e-learning are still gaining momentum in developing countries, such as China, it is necessary to examine the relationships between e-learners' experience and perceptions and their behavioural intention to reuse, because it is argued that system reuse is an important indicator of the system's success. Therefore, a better understanding of the multiple factors affecting the e-learner's intention to reuse could help e-learning system researchers and providers to develop more effective and acceptable e-learning systems. Underpinned by the information system success model, technology acceptance model and self-efficacy theory, a theoretical framework was developed to investigate the learner's behavioural intention to reuse e-learning systems. A total of 280 e-learners were surveyed to validate the measurements and proposed research model. The results demonstrated that e-learning service quality, course quality, perceived usefulness, perceived ease of use and self-efficacy had direct effects on users' behavioural intention to reuse. System functionality and system response have an indirect effect, but system interactivity had no significant effect. Furthermore, self-efficacy affected perceived ease of use that positively influenced perceived usefulness.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

British Journal of Educational Technology

Publication milestones

  • Published - 07/12/2011

Publication status

Published - 07/12/2011

ISSN

0007-1013

External Publication IDs

  • handle.net: 10547/245253
  • Scopus: 84867575596