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http://dx.doi.org/10.14352/jkaie.2018.22.6.689

Predictability of Elementary Students' Self-Regulated Learning, GRIT and Parents Support on Computational Thinking and Learning Satisfaction in Online Software Education  

Lee, Jeongmin (Dept of Educational Technology, Ewha Womans University)
Chae, Yoojung (KAIST Global Institute for Telented Education)
Lee, Myunghwa (Dept of Educational Technology, Ewha Womans University)
Publication Information
Journal of The Korean Association of Information Education / v.22, no.6, 2018 , pp. 689-699 More about this Journal
Abstract
The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.
Keywords
Elementary Education; Software Education; Computational Thinking; Learning Satisfaction; Self-Regulated Learning; GRIT; Parents Support;
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