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

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.