생성형 AI를 활용한 프로그래밍 교육용 코드 생성 프롬프트 개발 = Developing Code Generation Prompts for Programming Education with Generative AI

국문 초록 (Abstract)

딥러닝 기반의 AI 기술, 특히 생성형 AI는 최근 급격한 발전으로 사회에 많은 영향을 미치고 있다. 이로 인해 AI 교육 및 정보교육이 강조되고 학생들의 역량을 기르기 위한 많은 교육 연구들이 이루어지고 있다. 본 연구는 프로그래밍 교육을 위한 교수학습 환경 개선을 위해 생성형 AI의 적용 가능성을 확인하고자 하였다. 특히 생성형 AI의 텍스트 생성 기능을 활용하여 코드 및 교수학습 자료를 생성하기 위해 교수학습 전략과 프롬프트 엔지니어링 기법을 적용한 프롬프트를 개발하였다. 그 결과, 개발된 프롬프트는 교수학습 환경에 적합한 응답 결과를 도출하고 학습자 수준을 고려한 코드와 연습 문제를 생성할 수 있었으며, 일반적인 프롬프트와 비교하여 전체적으로 유사도가 높은 양질의 코드를 생성함을 확인하였다. 본 연구의 결과가 생성형 AI를 활용하여 다양한 수준의 학습자에게 개별 교육이 필요한 AI교육 및 정보교육 환경을 개선하는데 도움이 될 수 있기를 기대한다.

다국어 초록 (Multilingual Abstract)

Deep learning-based AI technologies, especially generative AI, have been profoundly impacting society due to their rapid advancements. This has led to an emphasis on AI and informational education, with numerous educational research endeavors undertaken to nurture students' capabilities. This study aimed to explore the potential of applying generative AI to enhance the learning environment for programming education. Specifically, we utilized the text generation capability of generative AI to produce code and instructional materials by implementing instructional strategies and prompt engineering techniques. The developed prompts were found to generate responses suitable for the educational environment, considering learners' proficiency levels to produce code and practice questions. Compared to standard prompts, they yielded high-quality code with a higher overall similarity. We hope that our findings will aid in improving the AI and informational educational environment, providing individualized education to learners of varying levels using generative AI.

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