一个生成人工智能虚拟教学助理为研究生护理信息学教育:设计,实施和初步结果
Cory Stephens1, Cheryl A Fisher, Charlotte Seckman
1Department of Organizational Systems and Adult Health University of Maryland School of Nursing, Baltimore, MD.
Computers, informatics, nursing : CIN
|December 18, 2025
概括
一个定制的生成人工智能工具通过支持学生进行学术任务并提供24/7的帮助来增强护理教育. 虽然促进了自主性,但它对学业成绩的影响是补充性的,提高了教师效率和学生参与度.
科学领域:
- 护理信息学 护理信息学
- 教育中的人工智能
背景情况:
- 护理信息学和生成人工智能对于基于能力的护理教育至关重要.
- 现有的教育模式需要创新的工具来提供个性化的支持和效率.
研究的目的:
- 开发和评估一个定制的生成人工智能工具,教育联合人工智能模型 (Jaimie),用于护理博士生.
- 评估Jaimie对学术写作,作业澄清和实习指导的影响.
主要方法:
- 杰米是使用技术教学内容知识框架和SAMR模型设计的,与AACN Essentials保持一致.
- 人工智能模型在课程特定的材料上接受了培训,并在研究生护理信息学课程中进行了试点.
- 评估涉及学习管理系统数据,学生绩效指标和定性反.
主要成果:
- 人工智能工具促进了学习者的自主权,并且在课堂时间之外经常使用.
- 使用与学业成绩的相关性有限,这表明它具有补充作用.
- 教师报告了减少常见问题和提高教学效率;学生赞赏AI的可访问性和无判断的支持.
结论:
- 这项研究证明了将生成AI整合到护理教育中的可行性.
- 开发的AI工具提供了一个可复制的模型,用于增强护理课程和支持学生学习.
- 可以利用护理信息学和人工智能来提高教育质量,灵活性和效率.
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