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

Young Ju Joo, Nari Kim, Nam Hee Kim

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

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.

Original languageEnglish
Pages (from-to)611-630
Number of pages20
JournalEducational Technology Research and Development
Volume64
Issue number4
DOIs
StatePublished - 1 Aug 2016

Keywords

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

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