中国护士考试GPT-4的表现:使用大型语言模型进行人工智能辅助护士教育的潜力
Yiqun Miao1, Yuan Luo, Yuhan Zhao
1School of Nursing, Capital Medical University, Beijing, China (Drs Miao, Luo, Zhao, Li, Liu, Wang, and Wu); and School of Nursing, Johns Hopkins University, Baltimore, USA (Dr Chen).
Nurse educator
|July 9, 2024
概括
在中国护士考试中,GPT-4表现出中度的准确性,在基础知识方面表现出色,但在复杂的开放式问题上表现出局限性. 护理教育工作者应该考虑其教育整合的潜力和挑战.
科学领域:
- 教育中的人工智能
- 护理教育 技术 技术
- 大型语言模型
背景情况:
- 像GPT-4这样的先进人工智能模型在专业专业考试中的有效性仍未得到充分探索.
- 具体来说,GPT-4在中国护士执照考试中的表现尚未得到系统评估.
研究的目的:
- 评估GPT-4在中国护士考试中典型的多项选择和开放式问题的表现.
- 确定GPT-4在评估护理知识和批判性思维技能的优缺点.
主要方法:
- 利用中国国家护士执照考试 (2021-2023) 的数据进行多选择题评估.
- 采用了18个基于案例的开放式问题来评估GPT-4的响应质量,包括逻辑一致性和信息准确性.
主要成果:
- 在多选题护理问题上,GPT-4的准确率达到了71.0%.
- 对开放式问题的答案显示了中等水平的等号相似性,逻辑一致性和信息质量.
结论:
- GPT-4表明熟练回答需要基础护理知识的问题.
- 在GPT-4处理复杂,开放式护理场景的能力存在重大局限性.
- 在将GPT-4纳入教育课程之前,护理教育工作者必须仔细考虑优缺点.
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