将人工智能 (AI) 集成到基于问题的学习 (PBL) 模块中,用于医学专业主义和道德教育
Nurfarahin Nasri1, Khairul Azhar Jamaludin1,2, Nurfaradilla Mohamad Nasri1,2
1Faculty of Education, Universiti Kebangsaan Malaysia, Bangi, Selangor 43600 UKM Malaysia.
Medical science educator
|March 9, 2026
概括
人工智能 (AI) 通过将基于问题的学习 (PBL) 模块与ChatGPT集成来增强医学教育. 这种由人工智能驱动的工具改善了医学学生的道德推理和参与.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 伦理教育教育 伦理教育
背景情况:
- 医疗专业和道德 (MPE) 教育需要创新的教学方法.
- 传统的方法可能不能完全让学生参与复杂的伦理推理.
- 整合技术可能会增强学习体验.
研究的目的:
- 为MPE教育共同创建和评估一个AI集成的基于问题的学习 (PBL) 模块.
- 评估ChatGPT作为虚拟联合促进者对学生道德推理和参与的影响.
- 探索AI在促进复杂的伦理讨论中的教学价值.
主要方法:
- 一个三个阶段的课程共同创建过程开发了一个AI集成的PBL模块.
- 聊天GPT被用作一个虚拟的联合促进器,基于Bloom的分类学和TPACK框架的脚手架提示.
- 该模块在计划的教学课程中与四年级医学学生进行了试点测试.
主要成果:
- 学生的反表明了更深层次的道德推理和更好的参与.
- 在人工智能促进的会议期间,观察到持续的讨论.
- 讲师指出,在调节人工智能产生的输入方面存在挑战.
结论:
- 集成AI的PBL模块对MPE教育具有重要的教学价值.
- 聊天GPT可以有效地促进复杂的伦理讨论,提高学生的学习.
- 需要进一步改进,以应对教育环境中人工智能调节的挑战.
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