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http://dx.doi.org/10.14352/jkaie.2021.25.5.751

Development of Machine Learning Education Program for Elementary Students Using Localized Public Data  

Kim, Bongchul (Jeju National University)
Kim, Bomsol (Jeju National University)
Ko, Eunjeong (Jeju National University)
Moon, Woojong (Jeju National University)
Oh, Jeongcheol (Dopyeong Elemantary School)
Kim, Jonghoon (Jeju National University)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.5, 2021 , pp. 751-759 More about this Journal
Abstract
This study developed an artificial intelligence education program using localized public data as an educational method for improving computing thinking skills of elementary school students. According to the ADDIE model, the program design was carried out based on the results of pre-requisite analysis for elementary school students, and textbooks and education programs were developed. Based on localized public data, the training program was constructed to learn the principles of artificial intelligence using machine learning for kids and scratches and to solve problems and improve computational thinking through abstracting public data for purpose. It is necessary to put this training program into the field through further research and verify the change in students' computational thinking as a result.
Keywords
AI education; Computational Thinking; Localized Public Data; ADDIE; Machine learning for kids;
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