ChatGPT 效应:护理教育与生成式人工智能。

The Journal of nursing education Pub Date : 2025-06-01 Epub Date: 2024-02-01 DOI:10.3928/01484834-20240126-01
Maxim Topaz, Laura-Maria Peltonen, Martin Michalowski, Gregor Stiglic, Charlene Ronquillo, Lisiane Pruinelli, Jiyoun Song, Siobhan O'Connor, Shoko Miyagawa, Hiroki Fukahori
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引用次数: 0

摘要

本文探讨了生成式人工智能(AI)(如 ChatGPT(Chat Generative Pre-trained Transformer,聊天生成预训练转换器))在护理教育中的潜力,以及与之相关的挑战和使用建议。生成式人工智能具有潜在的优势,如帮助学生完成作业、提供真实的病人场景供学生练习,以及实现个性化的互动学习体验。然而,在护理教育中整合生成式人工智能也带来了挑战,包括学术诚信问题、抄袭和侵犯版权的可能性、伦理影响以及产生错误信息的风险。为应对这些挑战,建议制定明确的机构指导方针,对学生进行全面的生成式人工智能教育,并提供检测人工智能生成内容的工具。文章最后敦促护士教育工作者负责任地利用人工智能生成技术的潜力,强调加强学习和提高效率的回报。认真应对这些挑战并战略性地实施人工智能是实现人工智能在护理教育中的应用前景的关键。[J Nurs Educ. 2024;63(X):XXX-XXX.].
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ChatGPT Effect: Nursing Education and Generative Artificial Intelligence.

This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generative AI in nursing education also presents challenges, including academic integrity issues, the potential for plagiarism and copyright infringements, ethical implications, and the risk of producing misinformation. Clear institutional guidelines, comprehensive student education on generative AI, and tools to detect AI-generated content are recommended to navigate these challenges. The article concludes by urging nurse educators to harness generative AI's potential responsibly, highlighting the rewards of enhanced learning and increased efficiency. The careful navigation of these challenges and strategic implementation of AI is key to realizing the promise of AI in nursing education. [J Nurs Educ. 2025;64(6):e40-e43.].

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