Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
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Application and Development of Machine Learning Training Program based on Understanding K-NN Algorithm

K-NN 알고리즘 이해를 기반한 머신러닝 교육 프로그램의 개발 및 적용

  • Choi, Eunsun (Major in Computer Education, Faculty of Science Edu., Graduate School, Jeju National University) ;
  • Park, Namje (Department. of Computer Education, Teachers College, Jeju National University)
  • 최은선 (제주대학교 일반대학원 과학교육학부 컴퓨터교육학과) ;
  • 박남제 (제주대학교 교육대학 초등컴퓨터교육전공)
  • Received : 2021.01.20
  • Accepted : 2021.02.10
  • Published : 2021.02.26
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Abstract

After the advent of the 4th industrial revolution era, the essential element of national competitiveness can be said to be artificial intelligence. However, since artificial intelligence is impossible without machine learning based on big data, future talents must be accompanied by the ability to use and understand machine learning familiarly from childhood and apply creatively to real life. In this paper, we developed and applied a machine learning education program based on understanding the K-NN algorithm for elementary school students and analyzed the effect. As a result, we found that the students' understanding of machine learning principles and machine learning application were improved based on understanding the K-NN algorithm. Through these results, the effectiveness of the proposed education program was verified. The significance of this paper can be found from the viewpoint of expanding the possibility of a way to educate machine learning even for students with low basic knowledge of information technology.

제4차 산업혁명 시대의 도래 후 국가 경쟁력의 가장 중요한 요소는 인공지능이라고 할 수 있다. 그러나, 인공지능의 발달은 빅데이터를 기반한 머신러닝 없이는 불가능하기 때문에 미래형 인재는 머신러닝을 어릴 때부터 친숙하게 활용하고 이해하여 실생활에 창의적으로 적용할 수 있는 역량이 필수적으로 수반되어야 한다. 이에 본 논문에서는 K-NN 알고리즘 이해를 기반한 초등학생 대상 머신러닝 교육 프로그램을 개발하고 적용하여 그 효과를 분석하였다. 그 결과 교육 프로그램을 적용한 학생들의 K-NN 알고리즘에 대한 이해를 바탕으로 머신러닝 원리와 적용에 대한 이해도가 향상되었음을 알 수 있었다. 이를 통하여 제안된 교육 프로그램의 효과가 검증되었으며, 정보 기술에 대한 기초 지식 수준이 낮은 학생들에게도 머신러닝을 교육시킬 수 있는 방안에 대한 가능성을 확장시켰다는 관점에서 본 논문의 의의를 찾을 수 있다.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2019S1A5C2A04083374).

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