医生助理学生使用大型语言模型来支持学习:一种现象学研究
David J Bunnell1,2,3, Stephanie L Neary1,2,3, Christopher Roman1,2,3
1David J. Bunnell, PhD, MSHS, PA-C, Doctor of Medical Science Program, University of Maryland, Baltimore, Baltimore, Maryland.
概括
医生助理 (PA) 学生积极使用生成人工智能 (AI) 进行学习,适应工具的实践,尽管最小的机构指导. 这凸显了在PA教育中结构化的AI整合的必要性,以促进数字素养和准备未来的临床医生.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 医学中的数字素养
背景情况:
- 高等教育中生成人工智能的采用正在增加,但其在医师协会 (PA) 计划中的具体应用尚未得到充分研究.
- 现有的关于人工智能在PA教育中的研究往往忽略了诸如学习者参与,批判性思维发展和机构支持结构等关键方面.
研究的目的:
- 探索教学医师协会 (PA) 学生如何将生成人工智能 (AI) 整合到他们的学习过程中.
- 了解学生的看法,态度,以及围绕人工智能在PA教育中的使用的机构背景.
主要方法:
- 一项定性研究,涉及对来自不同机构的8名自认AI使用教学PA学生进行半结构面试.
- 以解释性现象学分析和构造主义学习理论为指导的分析,采访成绩单的主题编码.
主要成果:
- 学生利用人工智能生成实践问题,澄清复杂的内容,并为临床评估做准备.
- 人工智能的感知是混合的,承认它的效率和支持性,同时注意到对准确性和局限性的担忧.
- 机构支持是最小的,学生在很大程度上在宽容但非结构化的学术环境中独立地导航AI集成.
结论:
- 教学PA学生通过代的试验,反思和适应,主动地将生成AI整合到他们的学习中.
- 参与者展示了发展数字素养和对人工智能工具的批判性参与,即使有有限的正式机构指导.
- 调查结果强调,需要制定人工智能综合课程和教师培训,以确保在PA课程中道德和教学上有效地利用人工智能,为学生准备技术增强的临床实践.
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