通过ChatGPT增强反思性实践:对分配设计的新方法
Anita Samuel1, Michael Soh2, Eulho Jung1
1Department of Health Professions Education, Uniformed Services University of Health Sciences, Bethesda, MD, USA.
Medical teacher
|February 6, 2025
概括
像ChatGPT这样的AI工具可以在卫生专业教育中创建有效的反思性实践任务,提高学生的表现并减少教师的工作量. 这种方法提高了教育评估的清晰度和结构.
科学领域:
- 健康 专业 教育 卫生 专业 教育
- 教育技术的教育技术
- 教育中的人工智能
背景情况:
- 反思性实践 (RP) 对于专业成长至关重要,但往往缺乏明确的目的和指导.
- 设计有效的RP任务是耗时的,需要特定的教师专业知识.
- 这项研究解决了创建支架式RP任务和减少教师工作负担的挑战.
研究的目的:
- 使用ChatGPT 4o来设计健康专业教育 (HPE) 中的反思性实践任务.
- 在指导人工智能辅助的分配设计时应用透明评估框架 (TAF).
- 为了减少与创建全面的RP任务相关的教师工作量.
主要方法:
- 采用了四个步骤的过程,以促进人工智能驱动的RP任务设计.
- 聊天GPT 4o被要求生成分配结构,然后对特定课程进行了改进.
- 透明评估框架 (TAF) 作为分配开发的指导原则.
主要成果:
- 在三个研究生HPE课程中的试点研究表明,任务清晰度,结构和学生表现得到了改善.
- 教师准备任务设计的时间显著减少.
- 人工智能辅助设计提供了一个可扩展的解决方案,用于创建有效的教育评估.
结论:
- 人工智能工具可以有效地支持在HPE创建支架反射实践任务.
- 这种方法提高了教育质量,同时优化了教师资源.
- 未来的研究应该探索学生的反和人工智能为医学学生生成的作业.
关键词:
在这里,我们可以看到AIAIAI.聊天GPT 聊天 在GPT 聊天在法律上,LLMs.反思性实践是一种反思性的实践.评估,评估和评价,这是一个很好的方法.通过透明的评估评估.透明的评估框架 透明的评估框架更多相关视频
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