通过黑客教育为人工智能革命做好准备:一项干预研究
Hossein Rezazadeh1, Ali Madadi Mahani2, Mahla Salajegheh3
1Endocrinology and Metabolism Research Center Kerman University of Medical Sciences Kerman Iran.
Health science reports
|August 20, 2025
概括
使用黑客教育方法的创新AI课程显著改善了医疗专业的学生
科学领域:
- 医疗教育
- 医疗保健中的人工智能
- 数字健康
背景情况:
- 尽管人工智能越来越多地融入医疗保健,但对医疗专业学生的正式人工智能 (AI) 教育是有限的.
- 作为数字原住民的Z世代学生需要针对人工智能学习的创新教学方法.
- 这项研究解决了医疗课程中有效人工智能培训的需求.
研究的目的:
- 研究一门利用黑客教育原则的创新课程,
- 评估这种新型人工智能教育方法对学生对关键人工智能概念的理解的影响.
主要方法:
- 对81名医疗专业学生进行了单组前后干预研究.
- 提供了100小时的反转课程,包括小组讨论,实践社区,同行教学和游戏化.
- 一个专家小组确定了教育需求,课程前后的问卷评估了AI的熟悉程度.
主要成果:
- 课程后的评估显示,学生对人工智能领域的熟悉程度有了显著的改善.
- 主要改进领域包括编程语言,机器学习,医疗保健中的人工智能应用,数据科学,图像处理,深度学习,神经网络和统计学 (所有 p < 0.001).
结论:
- 基于黑客教育的AI课程有效提高了医疗专业学生的AI能力.
- 将结构化的人工智能培训纳入医疗课程对于为未来的医疗保健专业人员准备人工智能驱动的临床环境至关重要.
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