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Indicators of satisfaction in clickers-aided EFL class

Overview of attention for article published in Frontiers in Psychology, May 2015
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Title
Indicators of satisfaction in clickers-aided EFL class
Published in
Frontiers in Psychology, May 2015
DOI 10.3389/fpsyg.2015.00587
Pubmed ID
Authors

Zhonggen Yu

Abstract

How to identify whether students are satisfied with clickers-aided EFL class might be largely a mystery for most researchers since satisfaction is deeply hidden in human psychology which is subtle and intangible. This study, by using bivariate correlation analysis and structural equation modeling, survey scales claimed both valid and internally consistent, and data collected from randomly selected 227 participants, explored the indicators of satisfaction in clickers-aided EFL class, together with gender differences in the indicators. It was concluded that satisfaction was positively correlated with interaction, self-efficacy and self-regulation in clickers-aided EFL class without statistically significant gender differences. Furthermore, interaction, self-efficacy and self-regulation were mutually and significantly correlated. Although indicators of satisfaction might not be limited to these three factors, the findings should be helpful to future researchers who desire to determine whether users are satisfied with the polling technology. Then teachers could decide what teaching style and contents should be adopted. In order to satisfy users of clickers, future lecturing might be designed to promote peer interaction, self-efficacy and self-regulation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Researcher 6 12%
Student > Ph. D. Student 4 8%
Student > Bachelor 4 8%
Lecturer 3 6%
Other 11 22%
Unknown 14 29%
Readers by discipline Count As %
Psychology 8 16%
Social Sciences 6 12%
Linguistics 6 12%
Business, Management and Accounting 5 10%
Mathematics 2 4%
Other 10 20%
Unknown 12 24%