医学生在实习申请中利用和感知生成人工智能
Blake Smith1, Tanya Ramadoss2, Vanessa D'Amario1
1Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, USA.
概括
医学学生越来越多地使用生成人工智能 (GenAI) 进行居住申请,特别是个人陈述. 这种趋势可能会改变传统应用程序组件 (如推信) 的重要性.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
背景情况:
- 住院申请过程对于医学学生的职业发展至关重要.
- 应用程序的关键组成部分包括个人陈述,简历和有影响力的经验.
研究的目的:
- 调查医学学生对生成人工智能 (GenAI) 的看法.
- 了解GenAI对居住申请流程的影响.
主要方法:
- 使用REDCap.Cap进行了13个问题的调查.
- 该调查探讨了学生的人口统计,专业偏好和GenAI使用感知.
主要成果:
- 超过50%的受访者已经使用或计划使用GenAI进行个人陈述.
- 43.3%的人将使用GenAI编辑个人陈述草案.
- 超过一半的受访者认为,GenAI可以改变推信的重要性.
结论:
- 医学学生正在采用GenAI用于个人陈述等申请材料.
- 传统应用元素的作用可能随着GenAI使用的增加而演变.
- 由于GenAI的应用范围不断扩大,未来的评估可能会优先考虑面对面的互动.
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