生成语法
心理学
护理部
误传
生成模型
护士教育
人工智能
医学
计算机科学
计算机安全
作者
Maxim Topaz,L. Peltonen,Martin Michalowski,Gregor Štiglic,Charlene Ronquillo,Lisiane Pruinelli,Jiyoun Song,Siobhán O’Connor,Shoko Miyagawa,Hiroki Fukahori
标识
DOI:10.3928/01484834-20240126-01
摘要
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.
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