J Korean Acad Soc Nurs Educ.  2023 Aug;29(3):234-246. 10.5977/jkasne.2023.29.3.234.

Development of a case-based nursing education program using generative artificial intelligence

• Ahn J
• Park HO

• KMID: 2545418
• DOI: http://doi.org/10.5977/jkasne.2023.29.3.234

Abstract

Purpose
This study aimed to develop a case-based nursing education program using generative artificial intelligence and to assess its usability and applicability in nursing curriculums.
Methods
The program was developed by following the five steps of the ADDIE model: analysis, design, development, implementation, and evaluation. A panel of five nursing professors served as experts to implement and evaluate the program.
Results
Utilizing ChatGPT, six program modules were designed and developed based on experiential learning theory. The experts’ evaluations confirmed that the program was suitable for case-based learning, highly usable, and applicable to nursing education.
Conclusion
Generative artificial intelligence was identified as a valuable tool for enhancing the effectiveness of case-based learning. This study provides insights and future directions for integrating generative artificial intelligence into nursing education. Further research should be attempted to implement and evaluate this program with nursing students.

Keyword

Nursing education, Artificial intelligence, Nursing students, Simulation training, Program development; 간호 교육, 인공지능, 간호학생, 시뮬레이션 학습, 프로그램 개발