相关实验视频
生成性人工智能:对健康专业的破坏者 学习者评估
Leo Morjaria1, Bhavya Gandhi2, Levi Burns3
1School of Medicine, McMaster University, Hamilton, CAN.
Cureus
|December 8, 2025
概括
生成型人工智能 (GenAI) 正在重塑卫生专业的教育评估. 教师应该把GenAI视为增强学习和评估的工具,而不是威胁.
科学领域:
- 健康 专业 教育 卫生 专业 教育
- 教育中的人工智能
- 学习者评估学习者评估
背景情况:
- 生成型人工智能 (GenAI) 工具对健康专业的教育产生了重大影响.
- 传统的评估模式正在被不断发展的GenAI能力所破坏.
- 学生,管理人员和教育工作者必须适应这些变化.
研究的目的:
- 检查GenAI对卫生专业教育评估实践的具体影响.
- 提出指导未来在GenAI集成环境中的教学和学习的假设.
- 倡导将GenAI整合为教育中的一个有价值的工具.
主要方法:
- 对GenAI对评估构造的影响分析.
- 评估GenAI的表现相对于中位数学习者表现的表现,并优化提示.
- 预测GenAI在卫生专业评估中的未来作用.
主要成果:
- 当被有效地提示时,GenAI可以超越中位数学习者的表现.
- 评估结构需要重新评估,以与GenAI增强的学习保持一致.
- 预计GenAI将成为卫生专业评估的重要工具.
结论:
- 基因人工智能 (GenAI) 提供了一个增强学习和赋予健康专业教育学生权力的机会.
- 教师应该主动将GenAI纳入评估策略.
- 将GenAI视为一种协作工具,将促进教育实践中的创新.
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