Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study.

ABSTRACT:

Background

The creation of large language models (LLMs) such as ChatGPT is an important step in the development of artificial intelligence, which shows great potential in medical education due to its powerful language understanding and generative capabilities. The purpose of this study was to quantitatively evaluate and comprehensively analyze ChatGPT's performance in handling questions for the National Nursing Licensure Examination (NNLE) in China and the United States, including the National Council Licensure Examination for Registered Nurses (NCLEX-RN) and the NNLE.

Objective

This study aims to examine how well LLMs respond to the NCLEX-RN and the NNLE multiple-choice questions (MCQs) in various language inputs. To evaluate whether LLMs can be used as multilingual learnin

SUBMITTER: Wu Z 

PROVIDER: S-EPMC11466054 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature