通过AIDUA模型探索护理学生接受RAG增强的GenAI:一种定性研究
Mingyan Shen1, Yanping Shen2, Zuxin Shi3
1Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, PR China; Zhejiang Shuren University, Hangzhou, PR China.
Nurse education in practice
|October 29, 2025
概括
本科护理学生发现NurCaseAI,一个用于案例研究的AI工具,有助于学习临床推理,但在情感参与方面存在局限性. 该系统表现出强烈的接受,表明护理教育的潜力.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 发展临床推理 发展临床推理
背景情况:
- 临床推理对于护理学生至关重要.
- 生成型人工智能 (GenAI) 提供了新的学习途径,但准确性问题仍然存在.
- 检索增强生成 (RAG) 可以通过在经过验证的护理知识中建立它来提高GenAI可靠性.
研究的目的:
- 检查本科护理学生的经验和接受NurCaseAI,一个交互式案例研究系统.
- 评估系统的有效性,并确定需要改进的领域.
- 通过人工智能设备使用接受 (AIDUA) 模型的镜头来理解学生的感知.
主要方法:
- 定性探索性设计. 定性探索性设计.
- 16名第三年护理学生参加了这次活动.
- 在学生使用NurCaseAI进行外科手术期间护理病例情景后,进行了半结构化访谈并进行了主题分析.
主要成果:
- 学生们认为NurCaseAI是一种有用的学习辅助工具,但有一些分析限制.
- 增强RAG的内容与课程工作保持一致,增强学习.
- 挑战包括最初的适应障碍和有限的情感参与,尽管整体系统接受度很高.
结论:
- 作为护士教育的补充工具,NurCaseAI显得有前途,特别是在术后和基于病例的学习中.
- 艾杜阿模型有效地解释了学生接受模式.
- 未来的代应该专注于增强情感互动和复杂的临床沟通支持.
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