案例研究:为研究生生命科学课程创建一个"AI for Academic Writing Skills"入门课程
Jennifer Carter1,2, Anne Ferrey3, Hubert Lam1
1Nuffield Department of Population Health, University of Oxford, U.K.
Emerging topics in life sciences
|December 19, 2025
概括
这项研究为研究生开发了AI for Academic Writing Skills入门课程,大大减少了关于道德生成AI使用的不确定性. 培训获得了极为积极的反,增强了学生对负责任的GenAI整合的信心.
科学领域:
- 医学教育 医学教育
- 教育中的人工智能
- 学术写作技巧 学术写作技巧
背景情况:
- 在大学中,学生采用生成人工智能 (GenAI) 是广泛但有争议的.
- 对于在学术环境中有效,负责任和道德地使用GenAI的结构化指导非常需要.
- 医学科学研究生 (PGT) 学生需要专门的培训来导航学术写作的GenAI工具.
研究的目的:
- 为PGT医学科学学生设计和评估一个关于"AI for Academic Writing Skills"的试点入门课程.
- 提供关于在学术写作中使用GenAI的实用,道德培训.
- 评估入门课对学生对GenAI的信心和不确定性的影响.
主要方法:
- 这是一个由士课程主任,学习技术专家和人工智能能力专家组成的合作项目.
- 通过API将ChatGPT4集成到Canvas虚拟学习环境中,以实现公平的访问.
- 预培训学生调查以衡量目前的GenAI参与度和信心水平.
- 基于调查结果和专家合作的结构化启动会话的开发.
主要成果:
- 100%的调查受访者对培训进行了积极评价.
- 86%的人认为学术写作讲座是有益的,100%的人认为通用GenAI技能讲座是有帮助的.
- 70%的受访者报告说,他们对在学术工作中使用GenAI的不确定性有显著的减少,82%的受访者欣赏了聊天机器人在小组工作中的互动.
结论:
- 开发的入门课有效地提高了学生的信心,并减少了关于在学术写作中使用GenAI道德方面的不确定性.
- 这种基于证据的,可扩展的方法为机构提供了一个模型,以应对高等教育中GenAI的挑战.
- 根据试点研究的反思和结果,计划在未来的学年中不断完善该计划.
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