人工智能获得认证,使护士教育现代化
Jennifer Chicca1, Teresa Shellenbarger, David Chicca
1Author Affiliations: Deputy Director (Dr J. Chicca) and Executive Director (Dr Shellenbarger), National League for Nursing Commission for Nursing Education Accreditation, Washington, DC; Part-time Faculty (Dr J. Chicca), School of Nursing, University of North Carolina Wilmington, Wilmington, NC; and Director (Mr D. Chicca), Office of Engineering Safety, Directorate of Standards and Guidance, Occupational Health and Safety Administration, Washington, DC.
人工智能 (AI) 模型可以帮助护理学院开展质量改进计划. 这项指导有助于教师有效地使用人工智能来现代化护理教育并提高学生的成绩.
科学领域:
- 护士教育
- 人工智能
- 提高质量
背景情况:
- 大型语言模型 (AI) 越来越复杂和普遍.
- 人工智能提供多种应用来支持护理教师角色.
- 现有文献主要关注教学中的人工智能, 而不是质量改进.
研究的目的:
- 为护理学院使用人工智能进行质量改进和认证提供指导.
- 解决护士教育中人工智能QI活动的文献缺口.
- 为教师的职责有效实施人工智能提供实用建议.
主要方法:
- 在护理教育中综合现有人工智能知识的文献评论.
- 将作者专业知识纳入人工智能和护理教师的角色.
- 为AI在QI和认证中的应用制定实用指南.
主要成果:
- 人工智能模型可以在复杂的角色中显著帮助护理教师,特别是在QI方面.
- 指导包括注意事项,最大限度地提高人工智能产出的方法,以及特定的使用方法.
- 教师需要有结构的支持来有效地利用人工智能.
结论:
- 人工智能模型具有现代化护理教育的巨大潜力.
- 人工智能可以加强课程监测,提高教育质量,并对学生的成绩产生积极影响.
- 人工智能的战略实施是实现其在护理教育中的好处的关键.
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