간호대학원생의 학술 연구 과정에서 생성형 AI 활용 경험

Nursing Graduate Students’ Experiences Using Generative AI in Academic Research

Purpose : This study aimed to explore the experiences of graduate nursing students while using generative artificial intelligence (AI) in their academic research process. Methods : Ten graduate nursing students who had used generative AI tools, such as ChatGPT during their thesis work, participated in this study. Data were collected from April 24 to June 20, 2025, through in-depth individual interviews lasting 30∼40 minutes. The interviews were transcribed and analyzed using Colaizzi’s phenomenological method to derive significant themes and structures. Results : A total of 92 significant statements were identified, resulting in 26 themes, nine theme clusters, and four overarching categories. The categories included acceleration of research flow and productivity, formation of self-assurance driven by emotional liberation, balancing convenience and autonomy, and critical reflection for maintaining academic integrity. Participants perceived generative AI as a valuable aid that enhanced accessibility and productivity, and a potential threat to critical thinking and academic integrity. Conclusion : Generative AI offers both opportunities and challenges for academic research. While it can serve as a supportive tool that boosts productivity and reduces the emotional burden, overreliance may hinder autonomy and ethical responsibilities. Therefore, nursing education should include clear guidelines and literacy training to support ethical and effective AI integration. Future research should explore generative AI experiences across diverse educational and research contexts in order to inform policies and pedagogy.