• Journal of the Korean School Mathematics Society
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• v.25 no.4
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• pp.423-446
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• 2022

This study explores and compares Korean and U.S. elementary preservice teachers' analytic approaches of students' addition and subtraction computational strategies. Twenty-six Korean and twenty U.S. elementary preservice teachers participated in the study. Participants were asked to analyze mathematical approaches and errors from students' addition and subtraction operations. Preservice teachers' written documents were analyzed by applying open coding and inductive coding based on the grounded theory. As a result, the pattern of error analysis and interpretation of students' addition computations were similar for both Korean and U.S. preservice teachers whereas there were some differences in the analysis of students' subtraction computations. Both Korean and U.S. preservice teachers had difficulties identifying students' strategies and errors for a complicated and unconventional computational approach. Results also indicated that preservice teachers' noticing and interpretation of students' strategies and errors were influenced by their K-12 mathematics curriculum and teacher education program. This study suggests implications and future directions for teacher education, more contextualized teacher preparation programs and balanced connection to the K-12 curriculum.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.252-258
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• 2021

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.