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拥抱未来:将ChatGPT融入中国护理教育体系。

Embracing the future: Integrating ChatGPT into China's nursing education system.

作者信息

Ni Zhengxin, Peng Rui, Zheng Xiaofei, Xie Ping

机构信息

School of Nursing, Yangzhou University, Yangzhou, China.

Department of Bone and Joint Surgery and Sports Medicine Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.

出版信息

Int J Nurs Sci. 2024 Mar 7;11(2):295-299. doi: 10.1016/j.ijnss.2024.03.006. eCollection 2024 Apr.

Abstract

This article delves into the role of ChatGPT within the rapidly evolving field of artificial intelligence, especially highlighting its significant potential in nursing education. Initially, the paper presents the notable advancements ChatGPT has achieved in facilitating interactive learning and providing real-time feedback, along with the academic community's growing interest in this technology. Subsequently, summarizing the research outcomes of ChatGPT's applications in nursing education, including various clinical disciplines and scenarios, showcases the enormous potential for multidisciplinary education and addressing clinical issues. Comparing the performance of several Large Language Models (LLMs) on China's National Nursing Licensure Examination, we observed that ChatGPT demonstrated a higher accuracy rate than its counterparts, providing a solid theoretical foundation for its application in Chinese nursing education and clinical settings. Educational institutions should establish a targeted and effective regulatory framework to leverage ChatGPT in localized nursing education while assuming corresponding responsibilities. Through standardized training for users and adjustments to existing educational assessment methods aimed at preventing potential misuse and abuse, the full potential of ChatGPT as an innovative auxiliary tool in China's nursing education system can be realized, aligning with the developmental needs of modern teaching methodologies.

摘要

本文深入探讨了ChatGPT在快速发展的人工智能领域中的作用,尤其突出了其在护理教育方面的巨大潜力。文章开篇介绍了ChatGPT在促进互动学习和提供实时反馈方面取得的显著进展,以及学术界对该技术日益浓厚的兴趣。随后,总结了ChatGPT在护理教育中的应用研究成果,涵盖各种临床学科和场景,展示了其在多学科教育和解决临床问题方面的巨大潜力。通过比较几个大语言模型在中国国家护士执业资格考试中的表现,我们发现ChatGPT的准确率高于其他模型,为其在中国护理教育和临床环境中的应用提供了坚实的理论基础。教育机构应建立有针对性且有效的监管框架,以便在本土化护理教育中利用ChatGPT,同时承担相应责任。通过对用户进行标准化培训,并调整现有的教育评估方法以防止潜在的滥用和误用,ChatGPT作为中国护理教育系统中创新辅助工具的全部潜力才能得以实现,从而与现代教学方法的发展需求相契合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dce/11064564/fed7844a98ae/gr1.jpg

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