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Performance of ChatGPT on Registered Nurse License Exam in Taiwan: A Descriptive Study.
- Source :
- Healthcare (2227-9032); Nov2023, Vol. 11 Issue 21, p2855, 12p
- Publication Year :
- 2023
-
Abstract
- (1) Background: AI (artificial intelligence) chatbots have been widely applied. ChatGPT could enhance individual learning capabilities and clinical reasoning skills and facilitate students' understanding of complex concepts in healthcare education. There is currently less emphasis on its application in nursing education. The application of ChatGPT in nursing education needs to be verified. (2) Methods: A descriptive study was used to analyze the scores of ChatGPT on the registered nurse license exam (RNLE) in 2022~2023, and to explore the response and explanations of ChatGPT. The process of data measurement encompassed input sourcing, encoding methods, and statistical analysis. (3) Results: ChatGPT promptly responded within seconds. The average score of four exams was around 51.6 to 63.75 by ChatGPT, and it passed the RNLE in 2022 1st and 2023 2nd. However, ChatGPT may generate misleading or inaccurate explanations, or it could lead to hallucination; confusion or misunderstanding about complicated scenarios; and languages bias. (4) Conclusions: ChatGPT may have the potential to assist with nursing education because of its advantages. It is recommended to integrate ChatGPT into different nursing courses, to assess its limitations and effectiveness through a variety of tools and methods. [ABSTRACT FROM AUTHOR]
- Subjects :
- NURSING licensure
GRADUATE nursing education
EVALUATION of human services programs
RESEARCH methodology
ARTIFICIAL intelligence
ABILITY
TRAINING
LEARNING strategies
ACADEMIC achievement
NURSES
U.S. states
DESCRIPTIVE statistics
CURRICULUM planning
DATA analysis software
PROFESSIONAL licensure examinations
MEDICAL logic
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 11
- Issue :
- 21
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 173568086
- Full Text :
- https://doi.org/10.3390/healthcare11212855