Journal of Creative Information Culture (창의정보문화연구)

The Korean Society for Creative Information Culture (한국창의정보문화학회)
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A Study on the Effectiveness of AI-based Learner-led Assessment in Elementary Software Education

초등 소프트웨어 교육에서 AI기반의 학습자 주도 평가의 효과성 고찰

  • Received : 2021.08.09
  • Accepted : 2021.09.02
  • Published : 2021.08.31
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Abstract

In future education, the paradigm of education is changing due to changes in learner-led and assessment methods. In addition, AI-based learning infrastructure and software education are increasingly needed. Thus, this study aims to examine the effectiveness of AI-based evaluation in future education by combining it with learner-led assessment. Using AI education and evaluation literature and Step 7 of the Learner-Driven Software Assessment Method, we sought to extract evaluation elements tailored to elementary school level in conjunction with the 2015 revised elementary practical course content elements, software understanding, procedural problem solving, and structural evaluation elements. In the future, we will develop a grading system that applies AI-based learner-led evaluation elements in software education and continuously demonstrate its effectiveness, and help the school site prepare for future education independently through AI-based learner-led assessment in software education.

미래교육에서는 학습자 주도의 교육방식과 평가방식의 변화로 교육의 패러다임이 바뀌고 있다. 또한 AI 기반의 학습 인프라와 소프트웨어 교육은 그 역할와 필요성이 점점 확대되고 있다. 이에 본 연구에서는 미래교육에서 추구하는 AI 기반의 평가를 학습자 주도 평가에 접목시켜 그 효과성을 고찰해 보고자 하였다. AI 교육 및 평가 관련 문헌 연구와 학습자 주도형의 소프트웨어 평가 방법 7단계를 인용하여 초등학교 수준에 맞는 평가요소를 2015 개정 초등 실과교육과정 내용 요소인 소프트웨어의 이해, 절차적 문제해결, 프로그래밍 요소와 구조 평가요소와 연계하여 추출하고자 하였다. 앞으로 관련 연구를 통해 소프트웨어 교육에서 AI 기반의 학습자 주도 평가 요소를 적용한 채점 시스템을 개발하여 그 효과성을 지속적으로 입증한 후 학교 현장이 소프트웨어 교육에서 AI 기반의 학습자 주도 평가를 통해 미래교육을 주체적으로 준비해 나가는 데 도움이 되고자 한다.

Keywords

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