Exploration of the application of ChatGPT in nursing management education in Korea: Focus on National Nurse Examinations

Objectives This study aimed to explore the applicability of ChatGPT in nursing management education by evaluating the responses generated by ChatGPT to questions on the nursing management subject during the national examination for nurses. Methods An exploratory study was used to evaluate the percentages of correct answers provided by ChatGPT for the national nurse examination focusing on nursing management subjects from 2019 to 2024. Results The 6-year average percentage of correct answers was around 61.1%(range: 48.6%∼71.4%) by ChatGPT. Among the seven areas of nursing management, the field with the highest percentage of correct answers is commanding (70.0%), and the lowest is 47.6%, which is the understanding of nursing professions. The areas with a higher percentage of correct answers than the average 61.1% of the nursing management were commanding, organizing, staffing, and planning, and the lower areas were controlling, management of nursing units and understanding of nursing professions. Conclusions ChatGPT showed performance beyond acceptance in the nursing management course of the Nurse National Examination. Through this, the possibility of using ChatGPT in nursing education was shown. Therefore, research is needed to confirm the effectiveness and limitations of education by actively using ChatGPT in nursing education.