人工智能和基于能力的教育:快速范围审查
Mary Ann Faucher1, Erin Sing1, Shannon Harris2
1School of Nursing, Texas Tech University Health Sciences Center, Dallas, Texas.
Journal of midwifery & women's health
|August 14, 2025
概括
人工智能 (AI) 可以在助产中增强基于能力的教育 (CBE),但教师需要人工智能能力来实现道德融合. 合理使用和机构支持是优化学生学习和发展的关键.
科学领域:
- 医学教育 医学教育
- 教育中的人工智能
- 护理和助产教育 护理和助产教育
背景情况:
- 人工智能 (AI) 具有显著的潜力,可以改善学生的学习,评估和教师在教育环境中的支持.
- 助产士教育的基于能力的学习 (CBE) 框架可以通过人工智能集成来增强或阻碍.
研究的目的:
- 探索人工智能的应用,以促进助产师和学生的基于能力的教育 (CBE).
- 确定与人工智能能力,学术投资和助产士教育中的教学设计相关的关键主题.
主要方法:
- 进行了快速范围审查,以三个研究问题为指导.
- 在2024年12月,在MEDLINE和Web of Science进行了系统的数据库搜索.
- 综合了2021年至2024年间发表的39篇文章,以确定主题和子主题.
主要成果:
- 确定的主要主题包括教师和学生对人工智能能力的必要性,包括道德使用和关注问题的意识.
- 突出了对人工智能学术投资的影响,包括开发,研究和成本考虑.
- 基于能力的AI集成教学设计专注于优化学生的学习,调整教学和特定的教学学习应用.
结论:
- 培养教师人工智能能力对于道德融合至关重要,需要修改教学方法来增强学生的学习和能力发展.
- 对人工智能挑战的认识对于其明智的应用至关重要,需要对教师发展和隐私保护提供机构支持.
- 助产士必须积极为人工智能提供学科特定的知识,并领导研究人工智能在助产学CBE中的有效性.
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