Performance of ChatGPT on Registered Nurse License Exam in Taiwan: A Descriptive Study

Huiman Huang

doi:10.20944/preprints202309.1625.v1

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preprints.org > computer science and mathematics > artificial intelligence and machine learning > doi: 10.20944/preprints202309.1625.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Performance of ChatGPT on Registered Nurse License Exam in Taiwan: A Descriptive Study

Huiman Huang

Version 1 : Received: 24 September 2023 / Approved: 25 September 2023 / Online: 25 September 2023 (05:23:43 CEST)

A peer-reviewed article of this Preprint also exists.

Huang, H. Performance of ChatGPT on Registered Nurse License Exam in Taiwan: A Descriptive Study. Healthcare 2023, 11, 2855. Huang, H. Performance of ChatGPT on Registered Nurse License Exam in Taiwan: A Descriptive Study. Healthcare 2023, 11, 2855.

Abstract

AI (Artificial Intelligence) chatbots has been widely applied. AI (Artificial Intelligence) chatbots has been widely applied. ChatGPT could enhance individual learning capabilities and clinical reasoning skills, facilitate students' understanding of complex concepts in healthcare education: (1) Background: 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 is used to analyze the scores of ChatGPT on the registered nurse license exam(RNLE) and compare to the pass rate of candidates in Taiwan; (3) Results: The average score of four exams were around 51.6 to 63.75 by ChatGPT, and pass the RNLE in 2022 1st and 2023 2nd. However, ChatGPT may generate misleading or inaccurate explanations, or it could lead to hallucinations; (4) Conclusions: ChatGPT may have potentially to assist with nursing education. Although AI can simulate human behavior in context, it still cannot replace human creativity, critical thinking, and clinical reasoning.

Keywords

artificial intelligence; ChatGPT; registered nurse license; nursing graduate

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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