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http://dx.doi.org/10.6109/jkiice.2021.25.2.252

Analyzing the level of resilience by gender in computational thinking classes  

Kim, Semin (Department of Computer Education, Jeonju National University of Education)
Choi, Sookyoung (Department of Information Security, Woosuk University)
Abstract
Software subjects such as programming practice and physical computing may have differences between men and women, and there may be individual differences in resilience due to errors and debugging. Therefore, in this study, we analyze gender differences in computational thinking classes by using a resilience testing tool. The results of this study showed that the two groups were homogeneous, and the male group did not show significant changes in resilience, but the female group showed significant increases in resilience. This study confirmed the possibility of reducing the gender gap of learners by allowing a group of female students who did not show strength in traditional software education to become more motivated and interested in the information and communication field through appropriate learning content and learning strategies in computational thinking classes.
Keywords
Software education; Computer education; Computational thinking; Resilience; Gender;
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