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http://dx.doi.org/10.14352/jkaie.2021.25.2.337

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

Kim, Bongchul (Jeju National University)
Kim, Jaejun (Jeju National University)
Moon, Woojong (Jeju National University)
Seo, Youngho (Jeju National University)
Kim, Jungah (Jeju National University)
OH, Jeongcheol (Dopyeong Elemantary School)
Kim, Yongmin (Jeju City Office of Education)
Kim, Jonghoon (Jeju National University)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.2, 2021 , pp. 337-346 More about this Journal
Abstract
Despite the increasing rate of use of data science in various fields of society, research on data science education programs is relatively inadequate. In this study, a data science education program for elementary school students was developed and its effectiveness was verified. We created a program that collects data using microbit, one of the physical computing tools, and developed an education program that performs the data science stage of analyzing the collected data to derive results. A study was conducted on 10 students enrolled in the Information Gifted Program at 00 University, and pre- and post-tests of computing thinking skills were conducted to verify the effectiveness. As a result, it was found that the data science education program developed through this study has a significant effect on improving the computational thinking of elementary school students.
Keywords
data science education; software education; microbit; computational thinking; data collection;
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