评估一项全球课堂倡议,以在医疗保健中教授机器学习应用
Sathana Dushyanthen1, Frances Hooley2, Kayley Lyons1
1Centre for Digital Transformation of Health, University of Melbourne, Melbourne, VIC, Australia.
BMC medical education
|October 22, 2025
概括
这个在线全球课堂显著提高了医疗保健专业人员对人工智能 (AI) 技能的信心. 该计划促进了国际合作,并为应用人工智能改善医疗保健服务提供了基础.
科学领域:
- 医疗保健教育 医疗保健教育
- 医疗保健中的人工智能
- 全球卫生协作全球卫生协作
背景情况:
- 全球课堂促进了国际知识交流.
- 人工智能 (AI) 在医疗保健中提供了变革性的潜力.
- 需要熟练的劳动力来利用人工智能为创新的医疗保健解决方案,需要量身定制的教育.
研究的目的:
- 在为期4周的在线全球课堂课程中探索学习者体验,专注于医疗保健专业人员的AI技能.
- 评估国际专业间协作学习的好处,障碍和机会.
- 为教育工作者提供有关改善人工智能技能发展的见解.
主要方法:
- 一个为期4周的在线翻转课堂课程,面向跨专业医疗保健专业人员 (N=21).
- 包括课前的在线学习,每周的Zoom实时研讨会,小组工作和专家反.
- 混合方法评估使用前后调查,自我有效性测量 (N=18) 和每周反调查.
主要成果:
- 在所有AI能力声明中,自我有效性显著增加 (P<.0001).
- 提供了对全球视角的访问,帮助项目理念的开发和完善.
- 旨在将知识应用于服务交付,预测建模和数据科学合作的学习者.
结论:
- 全球课堂增强了医疗保健专业人员之间的学习和问题分享.
- 促进跨越多元国际视角的更广泛的思考和合作.
- 建议培养课程后的实践社区,以实现持续的合作.
关键词:
人工智能的人工智能是人工智能.协作式在线国际学习国际学习持续的专业发展 持续的专业发展数字健康教育数字健康教育数字化转型数字化转型评价 评价 评价医疗专业教育卫生专业教育跨专业的 跨专业的劳动力发展 劳动力发展更多相关视频
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