Enhancing reflective practice with ChatGPT: A new approach to assignment design
收藏DataCite Commons2025-08-17 更新2025-09-08 收录
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<b>What was the educational challenge?</b> Reflective practice (RP) fosters professional growth but is often hindered by unclear purpose and minimal guidance. Designing comprehensive RP assignments is challenging because it takes time and not all faculty possess the skills to generate effective assignments. This innovation addressed two challenges: (1) creating clear, scaffolded reflective assignments using the transparent assessment framework (TAF) and (2) reducing faculty workload in assignment design. <b>What was the solution?</b> ChatGPT 4o was used to design RP assignments in health professions education (HPE). The TAF guided the design of the assessment. <b>How was the solution implemented?</b> A four-step process was followed to facilitate the design of the assignment. ChatGPT 4o was prompted to design the assignment and refined for the course. <b>What lessons were learned that are relevant to a wider global audience?</b> A pilot study in three graduate-level HPE courses showed ChatGPT-assisted assignments improved clarity, structure, and student performance while decreasing faculty preparation time. <b>What are the next steps?</b> We plan to expand this research to obtain student feedback on the effectiveness of the redesigned assignment and to explore the effectiveness of AI-generated reflective assignments with medical students who may require more structured guidance and contextualized prompts.
**教育层面面临的核心挑战是什么?**
反思性实践(Reflective Practice, RP)能够有效促进专业成长,但常因目标界定模糊、指导支撑不足而难以落地。设计系统性的反思性实践作业颇具难度:一方面需投入大量时间成本,另一方面并非所有教师都具备设计优质作业的专业能力。本创新方案解决了两大核心难题:一是依托透明化评估框架(Transparent Assessment Framework, TAF)打造清晰且带有支架支持的反思性作业;二是减轻教师在作业设计环节的工作负担。
**解决方案是什么?**
本研究采用ChatGPT 4o设计健康专业教育(Health Professions Education, HPE)领域的反思性实践作业,评估环节则由TAF提供规范指导。
**方案如何实施落地?**
本次作业开发遵循四步流程以保障质量:通过向ChatGPT 4o发送精准提示词完成作业初稿设计,并针对具体课程需求进行优化调整。
**可供全球更广受众借鉴的经验启示有哪些?**
针对三门研究生层次健康专业教育课程开展的试点研究显示,依托ChatGPT辅助设计的作业能够有效提升作业清晰度与结构合理性,同时改善学生学习表现,还显著缩短了教师的准备时长。
**后续研究计划是什么?**
团队计划拓展本研究的覆盖范围:一方面收集学生对重新设计作业的有效性反馈,另一方面探索AI生成的反思性作业在需要更结构化指导与情境化提示的医学生群体中的应用效果。
提供机构:
Taylor & Francis
创建时间:
2025-02-06



