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重新想象的外科教育:学习理论和人工智能的融合
Frances Lee1, Shing Wai Wong2,3
1Department of General Surgery, Prince of Wales Hospital, Sydney NSW, Australia. fran.m.lee1@gmail.com.
BMC medical education
|December 4, 2025
概括
人工智能 (AI) 通过个性化模拟和自适应反来增强外科教育,与教育理论保持一致. 仔细实施至关重要,以最大限度地提高效益并减轻诸如过度依赖自动化等风险.
科学领域:
- 医学教育 医学教育
- 人工智能的人工智能
- 进行外科手术培训.
背景情况:
- 人工智能 (AI) 越来越多地融入到外科教育中.
- 人工智能为个性化学习体验和改进技能发展提供了潜力.
研究的目的:
- 检查人工智能如何与关键的教育理论 (行为主义,认知主义,建设主义,人文主义,连接主义) 保持一致.
- 通过模拟,反和网络平台探索AI在增强外科学习中的作用.
主要方法:
- 文学评论和理论框架的分析.
- 在外科培训中识别人工智能应用,包括反,认知优化和协作网络.
- 检查伦理挑战,如数据隐私和算法偏见.
主要成果:
- 人工智能可以通过培养批判性思维和改善结果来彻底改变外科教育.
- 潜在的风险包括过度依赖自动化和失去实践经验.
- 需要深思熟虑和道德的实施,以避免"AI剧院".
结论:
- 需要一个平衡的方法,涉及教育工作者,技术人员和医疗保健专业人员.
- 人工智能可以培养动态的,以学习者为中心的外科教育环境.
- 应对道德挑战将有助于培养熟练和富有同情心的外科医生.
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