Assessing e-learner satisfaction model: A structural equation modeling approach

Pi Hsiang Li, Mu-Jung Huang, Ying Chun Chou, Chi Fei Wu, Pao Hua Chou

Research output: Contribution to journalArticlepeer-review


E-learner satisfaction is important because it affects the effectiveness of teaching and learning. This research evaluated critical factors of e-learners' satisfaction based on Adjen's Theory of Planned Behavior to assess the e-learner satisfaction model. A survey methodology was used to collect data. One hundred and seventy-eight valid questionnaires were collected for data analysis. Path analysis was used to test the hypotheses. Structural equation modeling was applied to test the goodness fit of the hypothesized model. The research found that e-learners' attitude, e-learners' subjective norm toward e-learning and e-learners' perceived behavior control significantly affect e-learners' intention to use e-learning and e-learners' intention to use e-learning significantly affects e-learners' satisfaction. The test results of goodness-of-fit indicated that the hypothesized model and the data were significantly fit.

Original languageEnglish
Pages (from-to)1265-1270
Number of pages6
JournalICIC Express Letters
Issue number5
Publication statusPublished - 2012 May 1

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Control and Systems Engineering

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