学术护士教育工作者对使用GenAI在护理教育中的道德担忧

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学术护士教育工作者对使用GenAI在护理教育中的道德担忧

Sharon K Titus¹, Ragi George, Denise R Gehring

¹About the Authors Sharon K. Titus, PhD, RN, is a professor, Azusa Pacific University School of Nursing, Azusa, California. Ragi George, PhD, RN, is an associate professor, Azusa Pacific University School of Nursing. Denise R. Gehring, MA, MSLIS, is an associate professor and librarian, Azusa Pacific University.

Nursing education perspectives

|September 29, 2025

概括

学术护士教育工作者对护理教育中的生成人工智能 (GenAI) 表示担忧,重点关注道德,诚信和人性化. 随着GenAI的发展,持续学习是必不可少的.

科学领域:

护理教育护理教育
医疗保健中的人工智能
教育技术的教育技术

背景情况:

生成型人工智能 (GenAI) 迅速影响了高等教育.
学术护士教育者 (ANE) 面临越来越多的要求将GenAI纳入护理课程.
虽然一些ANE已经做好准备,但另一些ANE对GenAI的采用存在重大担忧.

研究的目的:

识别和描述学术护士教育者对在护士教育中使用GenAI的感知担忧的现有证据.
综合当前关于这一领域与GenAI相关的挑战和伦理考虑的知识.

主要方法:

按照乔安娜·布里格斯研究所的方法和PRISMA-ScR指南进行了系统范围审查.
在八个数据库中进行了全面的搜索,得出了736篇文章,其中29篇被纳入分析 (从2022年11月起出版).
采用主题分析来综合两个独立审稿人使用Mendeley软件提取的数据.

主要成果:

该审查确定了29篇文章,讨论了学术护士教育工作者对护士教育中GenAI的担忧.
报告的关键道德问题包括学术诚信,抄袭和作弊等问题.
进一步确定的子主题是过度依赖GenAI工具以及教育中潜在的缺乏人性化.

结论:

生成型人工智能技术正在不断发展,需要在护理教育中进行持续的适应.
学术护士教育者必须不断学习和处理GenAI对护理课程的影响.
积极的参与和理解对于应对GenAI在护理教育中的道德和实际挑战至关重要.

关键词:

伦理学伦理学伦理学生成型的人工智能护士教育工作者护士教育工作者护理教育护理教育范围审查范围审查

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