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Factors predicting online university students’ use of a mobile learning management system (m-LMS)

Abstract

This study analyzed the relationships among factors predicting online university students’ actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness, expectation-confirmation, satisfaction, continuance intention and actual usage of m-LMS. Results showed that perceived ease of use predicted perceived usefulness, but expectation-confirmation was not related to perceived usefulness. Perceived usefulness and expectation-confirmation predicted satisfaction. Perceived usefulness and satisfaction predicted continuance intention, but perceived ease of use was not related to continuance intention. Continuance intention predicted actual usage of m-LMS.

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Acknowledgements

This study was supported by the National Research Foundation of Korea Grant, funded by the Korean Government (#2012-045331).

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Correspondence to Nari Kim.

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Cite this article

Joo, Y.J., Kim, N. & Kim, N.H. Factors predicting online university students’ use of a mobile learning management system (m-LMS). Education Tech Research Dev 64, 611–630 (2016). https://doi.org/10.1007/s11423-016-9436-7

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Keywords

  • Mobile learning
  • Mobile learning management system
  • m-LMS
  • Actual usage
  • Technology acceptance model
  • Expectation-confirmation model