护士教育中的大型语言模型:概念分析
Julia Harrington1, Richard G Booth1, Kimberley T Jackson1
1Arthur Labatt Family School of Nursing, Western University, 1151 Richmond Street, London, N6A 3K7, Canada, 1 519-661-3395.
JMIR nursing
|August 22, 2025
概括
大型语言模型 (LLM) 在护士教育中提供了方便,个性化的学习. 这一分析将LLM定义为提高认知能力和教学质量的创新工具.
科学领域:
- 护士教育
- 人工智能
- 概念分析
背景情况:
- 护士教育中大型语言模型 (LLM) 的概念基础尚未得到充分探索.
- 需要明确LLM在护士教育中的相关性,意义和属性.
- 应用罗杰斯的进化方法进行概念分析.
研究的目的:
- 在护理教育中探索LLM的进化概念.
- 通过文献审查提供LLM的概念分析.
- 在护士教育的背景下定义LLM.
主要方法:
- 使用罗杰斯的进化概念分析.
- 在PubMed,CINAHL,PsycINFO,Scopus和谷歌学者中进行了全面的文献搜索.
- 包括过去5年内发表的41篇论文,专注于护理教育中的LLM.
主要成果:
- 在护士教育中提出了LLM的定义.
- 将LLM描述为可访问,个性化,创新和交互性的工具.
- 确定了LLM提高认知和技能发展以及提高学习/教学质量的潜力.
结论:
- 在护理教育方面,LLM具有变革性的潜力,改善了资源和个性化的学习.
- 整合LLM需要仔细考虑限制和道德影响.
- 确保LLM整合符合护理教育价值,尤其是在研究生课程中.
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