The Effect of Data Science Education on Elementary School Students' Computational Thinking : Focusing on Micro:bit's Sensor Function

2021 ◽  
Vol 25 (2) ◽  
pp. 337-346
Author(s):  
Bongchul Kim ◽  
◽  
Jaejun Kim ◽  
Woojong Moon ◽  
Youngho Seo ◽  
...  
Author(s):  
Woojong Moon, Et. al.

Software education has emerged as a hot topic around the world, with the goal to raise interests on computational thinking. However, assessments on the computational thinking have not been actively conducted thus far. According to a study by Lee (2019), which analyzed 138 papers on computational thinking published in Korean journals from 2015 to 2018, software education has been introduced and studies on computational thinking are being conducted, but studies on teaching methods that2 improve computational thinking are needed. In this study, we developed and applied a primary educational programming language(EPL) program focused on execution time analysis aimed at improving computational thinking. By using the “Bebras Challenge” as an assessment tool and SPSS as a statistical tool, educational effects were analyzed through the results of pre- and post-computational thinking assessments. The analysis outcomes showed that the EPL education focused on execution time analysis was effective in improving the computational thinking of elementary school students. Putting execution time analysis EPL into primary software education as an educational topic will be effective in improving computational thinking.


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