Enhancing reflective practice with ChatGPT: A new approach to assignment design

What was the educational challenge? 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. What was the solution? ChatGPT 4o was used to design RP assignments in health professions education (HPE). The TAF guided the design of the assessment. How was the solution implemented? 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. What lessons were learned that are relevant to a wider global audience? A pilot study in three graduate-level HPE courses showed ChatGPT-assisted assignments improved clarity, structure, and student performance while decreasing faculty preparation time. What are the next steps? 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.

教育领域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，但常因目标模糊、指导不足而难以推进。设计全面的反思性实践作业颇具挑战：不仅耗时耗力，且并非所有教职员工都具备开发优质作业的专业能力。本创新方案针对两大痛点展开：其一，借助透明化评估框架（Transparent Assessment Framework, TAF）打造清晰且具备支架式支持的反思性实践作业；其二，减轻教职员工在作业设计环节的工作负担。
解决方案是什么？本方案采用ChatGPT 4o开发健康职业教育（Health Professions Education, HPE）场景下的反思性实践作业，并以透明化评估框架为作业评估设计提供核心指引。
该方案如何落地实施？本次实施遵循四步流程以推进作业开发：首先向ChatGPT 4o提交作业设计提示词，再针对具体课程对生成内容进行针对性打磨优化。
有哪些可供全球受众参考的经验启示？针对三门研究生层次健康职业教育课程开展的初步试点研究显示：借助ChatGPT开发的作业显著提升了内容清晰度与结构合理性，改善了学生学习表现，同时大幅缩短了教职员工的备课时长。
后续研究计划是什么？我们计划拓展此项研究：一方面收集学生针对重新设计后的作业的有效性反馈，另一方面针对需要更结构化指导与情境化提示的医学生群体，探索人工智能生成的反思性实践作业的应用效果。