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http://dx.doi.org/10.14352/jkaie.2021.25.5.779

An analysis of the Impact of AI Maker Coding Education on Improving Computing Thinking  

Lee, Jaeho (Gyeongin Nat'l University of Education)
Kim, Daehyun (Hwarang Elementary School)
Lee, Seunghun (Jangmyong Elementary School)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.5, 2021 , pp. 779-790 More about this Journal
Abstract
This study analyzed the effect of AI maker coding education on improving students' computational thinking. The subjects of the study were 10 students at H Elementary School in Ansan, and a total of 8 AI maker coding education using the Instructional Model for Maker Education based on SW Coding was applied to students to find out the degree of improvement of computational thinking. Students who participated in the class performed a process of solving real-life problems through coding and making activities, measured the degree of improvement in computing thinking before and after education through a computing thinking test paper, and observed students' thinking processes related to computing thinking components through interviews. As a result, it was confirmed that the average score of all students' computational thinking skills was improved, and the deviation of scores between students decreased. Through the interview, it was found that students actively utilize their thinking skills related to computational thinking skills in the problem-solving process. Through this, it was confirmed that AI maker coding education can have a positive effect on improving students' computing thinking skills.
Keywords
Computational Thinking; Maker Education; Software Education; Cobl Teaching tools; AI Education;
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