정보교육학회논문지 (Journal of The Korean Association of Information Education)

  • 제25권6호
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  • Pages.1005-1013
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  • 2021
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  • 1229-3245(pISSN)
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  • 2733-8428(eISSN)
한국정보교육학회 (Korea Association of Information Education)
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AI 군집 알고리즘을 활용한 학업 성취도 데이터 분석

Analysis of Academic Achievement Data Using AI Cluster Algorithms

  • 투고 : 2021.11.22
  • 심사 : 2021.12.15
  • 발행 : 2021.12.31
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초록

코로나 19가 장기화되면서 기존 학력 격차가 더욱 심화되고 있다. 본 연구의 목적은 담임교사에게 학업 성취도 분석을 통해 학년 및 학급 내 학력 격차 실태를 시각적으로 확인하고, 이를 활용하여 학력 격차를 개선하기 위한 수업 설계 및 방안 탐색에 도움을 주기 위함이다. 학생들의 학년 초 국어, 수학 진단평가 점수 데이터를 K-means 알고리즘을 활용하여 클러스터로 시각화하였으며, 그 결과 유의미한 군집이 형성된 것을 확인했다. 또한, 교사 인터뷰 결과를 통해서 학생의 학습 수준 및 학업 성취 확인, 개별 보충지도 및 수준별 학습과 같은 수업 설계 등 학력 격차 개선에 본 시스템이 유의미한 것으로 확인되었다. 이는 곧, 학업 성취도 데이터 분석 시스템이 학력 격차 개선에 도움이 된다는 것을 의미한다. 본 연구가 담임교사에게 학년 및 학급 내 학력 격차 개선 방안을 탐색하는 데에 실질적인 도움을 제공하며, 궁극적으로 학력 격차 개선에 기여하기를 기대한다.

With the prolonged COVID-19, the existing academic gap is widening. The purpose of this study is to provide homeroom teachers with a visual confirmation of the academic achievement gap in grades and classrooms through academic achievement analysis, and to use this to help them design lessons and explore ways to improve the academic achievement gap. The data of students' Korean and math diagnostic evaluation scores at the beginning of the school year were visualized as clusters using the K-means algorithm, and as a result, it was confirmed that a meaningful clusters were formed. In addition, through the results of the teacher interview, it was confirmed that this system was meaningful in improving the academic achievement gap, such as checking the learning level and academic achievement of students, and designing classes such as individual supplementary instruction and level-specific learning. This means that this academic achievement data analysis system helps to improve the academic gap. This study provides practical help to homeroom teachers in exploring ways to improve the academic gap in grades and classes, and is expected to ultimately contribute to improving the academic gap.

키워드

과제정보

이 연구는 2021년도 서울교육대학교 교내연구비에 의하여 연구되었음

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