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在波动,不确定性,复杂性,模两可的情况下,本科医学教育
Troy Camarata1, Angelina Spizzieri1, Anand Kulkarni1
1Baptist University College of Osteopathic Medicine, Memphis, TN, United States.
Frontiers in medicine
|November 13, 2025
概括
由于人工智能和分散式学习等因素,本科医学教育的格局正在迅速变化. 应用波动性,不确定性,复杂性和模糊性 (VUCA) 框架有助于确定创新的挑战和机会.
科学领域:
- 医学教育 医学教育
- 医疗保健管理的管理
- 教育技术的教育技术
背景情况:
- 本科医学教育面临着前所未有的环境变化.
- 适应这些变化需要识别和分类影响因素.
- 波动性,不确定性,复杂性和模糊性 (VUCA) 框架为分析这些变化驱动因素提供了一种方法.
研究的目的:
- 将VUCA框架应用于本科医学教育的背景.
- 确定影响医疗教育当前状况的关键因素.
- 为医疗教育创新战略的发展提供信息.
主要方法:
- 使用VUCA框架进行分析.
- 检查了影响因素,如人工智能,分散学习,医学院扩张,以及对教师和学生的不断变化的需求.
- 专注于这些因素对本科医学教育的影响.
主要成果:
- 识别人工智能作为一个重要的破坏性力量和机会.
- 强调了分散式学习模式对教育交付的影响.
- 注意到医学院扩张和新教师/学生需求带来的挑战和机遇.
结论:
- VUCA框架为医学教育的动态性提供了有价值的见解.
- 了解这些影响对于开发适应性和有效的教育策略至关重要.
- 需要创新的方法来应对干扰,并为医疗教育的利益相关者利用机会.
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