比较护理学生和人工智能系统在解决基本生命支持和高级心脏生命支持多项选择考试问题的能力方面的表现
Amer A Hasanien1, Randa M Albusoul1
1Department of Clinical Nursing, The University of Jordan Queen Rania Street, Amman 11942, Jordan.
Nurse education in practice
|February 13, 2026
概括
像Copilot,Gemini和ChatGPT这样的人工智能 (AI) 系统在基本生命支持 (BLS) 和高级心脏生命支持 (ACLS) 考试中表现强,超过了许多护理学生. 人类监督对于这些先进的AI工具仍然至关重要.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 护理信息学 护理信息学
背景情况:
- 人工智能系统在医学执照考试中表现出很高的表现.
- 有限的研究存在于人工智能在护理教育中的表现.
- 之前没有任何研究将人工智能能力与护理学生进行比较.
研究的目的:
- 将毕业护理学生在BLS/ACLS考试中的表现与AI系统进行比较.
- 为了评估三个人工智能模型:双子座,ChatGPT和Copilot.
主要方法:
- 描述性的研究设计.描述性的研究设计.
- 120名第三年和第四年护理学生参加了这次活动.
- 学生在BLS/ACLS考试中的分数与人工智能生成的分数进行了比较.
主要成果:
- 学生的平均得分为20.70/25.5分.
- 人工智能系统得分:双子 (23/25),聊天GPT (21/25),副驾驶 (24/25).
- 副驾驶员的表现优于学生的86.7%,双子座的72.5%,和聊天GPT的55.8%.
结论:
- 与毕业的护理学生相比,人工智能系统表现出色.
- 在被评估的AI系统中,Copilot表现出了最高的性能.
- 尽管有人工智能的能力,但仍然需要人类专家的监督.
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