예비 초등 교사 AI 수업 전문성 신장을 위한 프로그램 개발 적용 연구
A Case Study on STAMP Operation for Developing Artificial Intelligence Competence of Pre-service Teachers
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초록
본 연구는 초등 예비교사의 인공지능 수업 전문성을 강화하기 위한 프로그램을 개발하는 데 목적이 있다. 본 프로그램은 경남 소재 교육대학교에 재학 중인 예비교사 24명을 대상으로 2023년 4월부터 2023년 7월까지 개발되고 적용되었다. 참여한 예비교사 24명에게 AI 역량 측정 검사를 실시하여 결과를 분석하였고, 예비교사 3명의 수업 저널을 심층 분석하여 수업 전문성의 변화 양상을 파악하였다. 그 결과, 3회에 걸친 AI 역량 측정 검사의 평균 점수는 통계적으로 유의미한 향상을 보였다. 또한, 예비교사의 수업 저널에서도 프로그램의 단계에 따라 수업 전문성에 긍정적인 변화가 나타남을 확인할 수 있었다. 예비교사의 인공지능 수업 전문성 향상을 위한 본 프로그램의 5단계를 적용한다면 인공지능 역량과 수업 전문성을 신장시키는 유용한 자료로 활용할 것으로 기대되며, 이러한 기대를 확인하기 위한 후속 연구가 이루어질 필요가 있다.
Abstract
The purpose of this study is to develop a program to strengthen the professionalism of artificial intelligence education of elementary pre-service teachers. This program was developed and applied to 24 pre-service teachers attending the University of Education in Gyeongnam from April 2023 to July 2023. AI competency measurement tests were conducted on 24 participating pre-service teachers to analyze the results, and in-depth analysis of journals of three pre-service teachers was conducted to identify changes in teaching professionalism. As a result, the average score of the three AI competency measurement tests showed a statistically significant improvement. In addition, it was confirmed that positive growth in teaching professionalism appeared according to the stage of the program in the journal of the pre-service teacher. If the five stages of this program are applied to improve the artificial intelligence teaching professionalism of pre-service teachers, it is expected to be used as useful data to enhance artificial intelligence capabilities and teaching professionalism, and follow-up studies are needed to confirm these expectations.
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