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생성형 AI를 활용한 현직 국어교사의 서‧논술형 평가 문항 개발 양상 분석

Analysis of the Development Pattern of Constructive Assessment Items by Korean Language Teachers Using Generative AI

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초록

본 연구에서는 ChatGPT를 활용한 10명의 현직 국어 교사의 서논술형 평가 개발 사례를 바탕으로 생성형 AI를 활용한 서논술형 평가 문항 개발의 가능성과 활용 방안을 제안하였다. 본 연구의 결과를 정리하면 다음과 같다. 첫째, 서‧논술형 평가 문항 생성 시 효과적인 프롬프트 구성이 매우 중요하다. 1) 명시적이고 구체적인 정보의 제공(역할, 대상 학년, 성취기준 등)과 2) 성취기준에 대한 해설 및 서논술형 평가의 개발 요건, 3) 문두, 지문, 채점을 위한 정답, 정답 해설, 채점 루브릭 등에 대한 산출 결과에 명시적인 요구를 제시해 줄 수 있어야 한다. 둘째, ChatGPT에 입력하는 프롬프트를 반복적으로 수정하고 구체화하는 과정이 중요하다. 초기에 원하는 답변을 얻지 못해도 단계별(step by step)로 접근하며 프롬프트를 개선해 나갈 필요가 있다. 셋째, AI가 지문을 직접 생성하는 방식보다는 기존의 텍스트를 제시해 주고, AI가 텍스트를 재가공하여 문항을 생성하도록 하는 것이 효과적이다. 넷째, ChatGPT는 신속하고 효과적인 채점 자료의 생성과 활용이 용이하지만 이를 그대로 수용하기보다는 비판적 재구성을 거쳐 활용할 필요가 있다.

Abstract

In this study, we proposed the potential and utilization methods for developing constructive assessment items using generative AI based on 10 Korean language teachers' cases of developing assessment using ChatGPT. Firstly, it is crucial to effectively compose prompts when generating constructive assessment items.In particular, it is essential to provide explicit and specific information(such as roles, target grade, achievement criteria, etc.) for constructive assessment items. Additionally, prompts should explicitly specify what elements should be included in the generated items. Secondly, the process of iteratively refining and specifying the prompts entered into ChatGPT is crucial. Even if the desired responses are not obtained initially, it is necessary to approach the improvement of prompts step by step, gradually modifying them to achieve the desired outcomes. Thirdly, it is more effective to provide existing text to AI and have it generate assessment items by reprocessing the text, rather than relying on AI to directly generate passages. Fourthly, while ChatGPT facilitates the rapid and efficient generation and utilization of scoring materials, it is important to critically reconstruct and adapt these materials rather than accepting them as they are.

참고문헌 (36)

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