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作 者:李源[1,2,3] 罗碧如[2,3] Rosemary Fu Mei[4] 胡艳玲 Li Yuan;Luo Biru;Rosemary Fu Mei;Hu Yanling(Department of Neonatal Nursing,West China Second University Hospital,Sichuan University,Chengdu 610041,China;Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University),Ministry of Education,Chengdu 610041,China;Department of Nursing,West China Second University Hospital,Sichuan University,Chengdu 610041,China;School of Nursing and Health Studies,University of Missouri-Kansas City,Kansas City 64108,USA)
机构地区:[1]四川大学华西第二医院新生儿护理单元,成都610041 [2]出生缺陷与相关妇儿疾病教育部重点实验室(四川大学),成都610041 [3]四川大学华西第二医院护理部,成都610041 [4]密苏里大学堪萨斯城分校护理与健康研究学院,堪萨斯城64108
出 处:《中华现代护理杂志》2025年第6期830-835,共6页Chinese Journal of Modern Nursing
基 金:四川省护理科研课题计划(H23020);成都市卫健委医学科研课题(2023005)。
摘 要:以大语言模型为代表的生成式人工智能技术突破将全方位影响教育生态。本文聚焦护理教育领域,首先介绍了大语言模型的基本概念与演进历程;进而描绘了该项技术赋能护理教育创新实践的典型应用,展示了其在重塑教学内容生成方式、教学模式、教学场景以及教育评价体系等方面的巨大潜力;并剖析了其中可能存在的关键挑战,包括专业建构不足、师生关系疏离、数字依赖过度及技术接入不均。通过梳理大语言模型在护理教育领域的前沿技术应用及潜在风险挑战,有望为护理教育数字化转型探索之路启发思路并提供参考。Generative artificial intelligence technologies,represented by large language models,are poised to impact educational ecosystems comprehensively.This article focuses on the nursing education field,first introducing the basic concepts and evolution of large language models.It then outlines typical applications of this technology in enabling innovative practices in nursing education,showcasing its immense potential in reshaping content generation methods,teaching models,educational settings,and evaluation systems.Additionally,the article analyzes key challenges that may arise,including inadequate professional construction,alienation in teacher-student relationships,over-reliance on digital tools,and unequal access to technology.By examining the frontier applications and potential risks of large language models in nursing education,this work aims to inspire ideas and provide references for the digital transformation of nursing education.
分 类 号:G642[文化科学—高等教育学] R47-4[文化科学—教育学]
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