초등학교 데이터과학 교육 프로그램의 설계와 적용 효과
Design and Implementation Effects of Data Science Education Program for Elementary School Students
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초록
2025년부터 적용되는 교육과정의 특징은 인공지능 융합교육이며 인공지능은 데이터과학의 핵심 기술이 많이 요구되지만 초등 교육 현장에서의 정보교육은 코딩 교육과 인공지능 도구 활용 교육 위주로 진행되고 있다. 본 연구에 서는 초등학교 4학년을 대상으로 코딩 학습 없이 관심 주제를 선택하여 학생 주도적으로 활동하는 데이터과학 교육 프로그램을 설계하고 적용한 다음 학생의 통계적 분석 능력, 데이터 기반 의사소통 능력, 수업 후 소감문을 분석하였다. 분석 결과, 통계적 분석 능력은 22% 향상되었고 데이터 기반 의사소통 능력은 39% 향상됨을 확인하였으며 수업 후 소감은 긍정적인 의견이 86%로 부정적인 의견 14%보다 높았다. 이것은 관심 주제 분석과 학생 주도적 활동을 기반으로 하는 데이터과학 교육 프로그램이 학생의 데이터 리터러시 향상에 긍정적 영향을 주는 것으로 해석된다.
Abstract
The characteristic of the curriculum applied from 2025 is AI convergence education, and AI requires many core technologies of data science, but information education in elementary education is mainly conducted with coding education and AI tool utilization education. In this study, we designed and applied a data science education program for 4th graders in elementary school in which students select topics of interest without learning coding and participate in student-led activities, and then analyzed the students' statistical analysis ability, data-based communication ability, and post-class impressions. As a result of the analysis, it was confirmed that statistical analysis ability improved by 22% and data-based communication ability improved by 39%. The positive opinions after class were 86%, which was higher than the negative opinions of 14%. This is interpreted that a data science education program based on analysis of topics of interest and student-led activities has a positive effect on improving students' data literacy.
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