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http://dx.doi.org/10.22156/CS4SMB.2021.11.01.167

The Effect of Computational Thinking Course on Learning Flow and Collective Self-Efficacy  

Lee, KyungHee (Division of Innovation and Convergence, Hoseo University)
Park, Hye-Young (Center for Teaching and Learning, Hoseo University)
Publication Information
Journal of Convergence for Information Technology / v.11, no.1, 2021 , pp. 167-174 More about this Journal
Abstract
The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.
Keywords
Computational Thinking; Learning Flow; Collective Self-Efficacy; Educational Factors; Liberal Arts;
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