Analysis of students' learning satisfaction in a social community supported computer principles and practice course

Yu Shan Lin, Shih Yeh Chen, Yu Sheng Su, Chin Feng Lai

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The study compares the learning satisfaction of two student groups, one takes the fully online course-Introduction to Internet of Things, and the other takes the small private online course (SPOC). In the research framework, learning satisfaction is the dependent variable, and learning engagement, learning presence, video perception, platform perception, and design perception are independent variables. This work adopts online questionnaire survey to collect data from the two student groups. As to research method, Multiple Regression Analysis (MRA) is utilized to test proposed research framework. The results of MRA show that platform perception generates students' learning satisfaction for SPOC, while video perception and design perception generate students' learning satisfaction for fully online course. This empirical study elucidates the factors influence learner's satisfaction and contributes to theory and practice in the domains of online courses.

Original languageEnglish
Pages (from-to)849-858
Number of pages10
JournalEurasia Journal of Mathematics, Science and Technology Education
Volume14
Issue number3
DOIs
Publication statusPublished - 2018

All Science Journal Classification (ASJC) codes

  • Education
  • Applied Mathematics

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