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http://dx.doi.org/10.14352/jkaie.2019.23.5.499

Predicting the Effect of Puzzle-based Computer Science Education Program for Improving Computational Thinking  

Oh, Jeong-Cheol (Jeju National University)
Kim, Jonghoon (Jeju National University)
Publication Information
Journal of The Korean Association of Information Education / v.23, no.5, 2019 , pp. 499-511 More about this Journal
Abstract
The preceding study of this study developed puzzle-based computer science education programs to enhance the computational thinking of elementary school students over 1 to 3 times. The preceding study then applied such programs into the field, categorized the effects of education into CT creativity and CT cognitive ability to improve the education programs. Based on the results of these preceding studies, the hierarchical Bayesian inference modeling was performed using age and CT thinking ability as parameters. From the results, this study predicted the effectiveness of puzzle-based computer science education programs in middle and high schools and proposed major improvement areas and directions for puzzle-based computer science education programs that are to be deployed in the future throughout middle and high schools.
Keywords
Bayesian inference; Computational Thinking; CT-LC(Computational-Thinking-Based Exploratory Learning Cycle Model); Puzzle-Based Learning;
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Times Cited By KSCI : 1  (Citation Analysis)
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