생성형 인공지능 기반 수업 경험 및 활용 방안에 대한 연구 - 프로그래밍 수업을 중심으로
A study on the experience and utilization of generative AI-based classes - focusing on programming classes
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초록
본 연구는 최근 생성형 AI로 인한 새로운 교육 트렌드 변화에 학습자들의 수업 경험에 대한 긍정/부정 인식의 변화와 실제 활용 형태를 살펴본다. 공학 계열 대학생 6학급을 대상으로 2학기 동안 AI 챗봇을 웹 프로그래밍 수업에 활용하였고, 학기 초부터설문 조사를 시작으로 중간/기말 고사 보고서 제출 기간까지 학습자의 경험과 활용에 대한 변화를 분석했다. 연구 분석 결과, Q/A 피드백과 실습 문제 해결 등 학습 개선에 도움이 되었고, 수업 적용 이후 중간부터 기말범위까지 챗봇에 대한 인식이 긍정적으로 변화하였다. 이외 수업 내에 커뮤니티 단절(개인화) 문제와 교육 S/W로써 활용 방안에 대한 유의미한 결론을 도출했다. 본 연구는 앞으로 생성형 AI 기반 소프트웨어 개발을 위한 기초 연구로써 의의가 있다.
Abstract
This study examines the changes in learners’ positive/negative perceptions of classroom experience and actual utilisation of AIchatbots in response to the recent changes in education trends caused by generative AI. AI chatbots were utilised in web program ming classes for six classes of engineering students over two semesters. The learners’ experience and usage were analysed fromthe beginning of the semester through surveys until the submission of midterm and final examination reports. The study’s resultsindicate that the chatbot enhanced learning by providing Q/A feedback and solving practical problems. Additionally, the perceptionof the chatbot improved from midterm to the end of the course. The study also drew meaningful conclusions about the issue of com munity disconnection (personalisation) in the classroom and how to use it as educational software. This research is significant forthe development of generative AI-based software.
참고문헌 (17)
- Y. Liu, "Summary of chatgpt-related research and perspective towards the future of large language models", Meta-Radiology, 1(2), pp.100017~ (2023)
- A. Radford, "Language models are unsupervised multitask learners", OpenAI Blog, 1(9), pp.1~24 (2019)
- F. F. Xu, "In-IDE Code generation from natural language : promise and challenges", ACM Transactions on Software Engineering and Methodology, 31(2), pp.1~47 (2022)
- I. Chiang, "Unleashing the power of generative AI: The race for advancement and the global ramifications", pp.2023
- "OpenAI set to launch store as ChatGPT reaches 100mn users" (2023)[URL]
- D. Baidoo-Anu, "Education in the era of generative artificial intelligence(AI) : Understanding the potential benefits of ChatGPT in promoting teaching and learning", Journal of AI, 7(1), pp.52~62 (2023)
- M. Sullivan, "ChatGPT in higher education : Considerations for academic integrity and student learning", Journal of Applied Learning &Teaching, 6(1), pp.1~10 (2023)
- E. Simonsson, "Generative AI effects on school systems:An overview of generative AI with focus on ChatGPT, what it is, what it isn’t and how it works", ~ (2023)
- S. Popenici, "The critique of AI as a foundation for judicious use in higher education", Journal of Applied Learning and Teaching, 6(2) (2023)
- C. K. Y. Chan, "A comprehensive AI policy education framework for university teaching and learning", International Journal of Educational Technology in Higher Education, 20(1), pp.1~25 (2023)
- B. Xu, "Are we ready to embrace generative AI for software Q&A?", IEEE, 2023, ~
- G. Spitale, "AI model GPT-3 (dis)informs us better than humans", Science Advances, American Association for the Advancement of Science, 9(26) (2023)
- R. A. Poldrack, "AI-assisted coding:Experiments with GPT-4", ~ (2023)
- W. Holmes, "State of the art and practice in AI in education", European Journal of Education, 57(4), pp.542~570 (2022)
- J. Song, "Development of play-centered korean language education program for low-end elementary school students using artificial intelligence tools", Journal of Practical Engineering Education, 12(2), pp.301~308 (2020)
- S. Y. Lee, "Brainstorming using TextRank algorithms and Artificial Intelligence", Journal of Practical Engineering Education, 15(2), pp.509~517 (2023)
