在护理教育中使用ChatGPT和类似技术的模式,进步和差距:PAGER范围审查
Isaac Amankwaa1, Emmanuel Ekpor2, Daniel Cudjoe3
1Department of Nursing, Auckland University of Technology, Auckland, New Zealand.
Nurse education today
|July 11, 2025
概括
生成型人工智能 (GenAI) 在护理教育中提供了变革性的潜力,混合实施模型显示出卓越的结果. 解决教师培训和公平方面的差距对于负责任的整合和最大限度地利用GenAI至关重要.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 教育技术的教育技术
背景情况:
- 生成型人工智能 (GenAI) 提供了现代化护理教育内容交付的机会.
- 有关学术诚信和教学质量的担忧存在,随着GenAI工具的快速采用.
- 现有的审查缺乏对GenAI的全面关注,特别是在护理教育中.
研究的目的:
- 在护理教育中对生成人工智能 (GenAI) 的实施进行范围审查.
- 确定GenAI整合的模式,进展,差距,证据和建议.
- 为了提供一个结构化的概述,目前的景观的GenAI在护理教育.
主要方法:
- 根据JBI方法和PRISMA-ScR指南进行范围审查.
- 搜索了多个数据库 (PubMed,CINAHL,SCOPUS,ERIC) 和灰色文献 (2024年10月至11月).
- 使用PAGER框架进行数据合成和组织.
主要成果:
- 基因人工智能在评估,临床模拟,内容开发和支持领域进行实施.
- 与限制性或整合性模型相比,混合实施方法显示出更高的采用结果.
- 指出了技术进步,GPT-4在评估中显示了更高的准确性;主要差距包括方法严谨性,质量控制和教师培训.
结论:
- 基因人工智能具有改变护理教育的巨大潜力.
- 进一步的研究应侧重于治理框架,经验验证,教师的人工智能素养和公平的基础设施.
- 国际合作对于在全球医疗保健教育中负责任和有效地整合GenAI至关重要.
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