护理学生的感知和在护理教育中使用生成人工智能
ShinHi Han1, Hee Sun Kang2, Philip Gimber1
1Health Science/Nursing, LaGuardia Community College, The City University of New York, Long Island City, NY 11101, USA.
Nursing reports (Pavia, Italy)
|February 25, 2025
概括
护理学生利用生成人工智能 (GenAI) 进行学习和临床支持,但对成本和准确性表示担忧. 教育机构应该为负责任的GenAI整合提供指导和支持.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 生成型人工智能应用程序
背景情况:
- 人工智能 (AI) 正在彻底改变护理教育.
- 像ChatGPT这样的生成性AI (GenAI) 工具为个性化学习途径提供了潜在的潜力.
研究的目的:
- 为了探索护理学生对GenAI的使用.
- 了解学生对GenAI在护理教育中的优点,缺点和支持需求的看法.
主要方法:
- 一项在线调查对纽约市99名本科护理学生进行了调查.
- 数据是通过半结构化,开放式问题的自我报告措施收集的.
- 用内容分析来分析收集的数据.
主要成果:
- 92%的学生使用GenAI获取信息,概念澄清和临床任务支持.
- 学生发现GenAI对于简化复杂信息,提供定义,练习问题和写作辅助非常有价值.
- 缺点包括成本,过度依赖,信息过载,准确性问题和信任问题.
结论:
- 基因人工智能 (GenAI) 对护理教育产生了积极的影响,强调了对批判性评估指导方针的需求.
- 有效的整合需要入门课程,支持计划和有利于负责任的人工智能使用的环境.
- 教师应该为学生准备GenAI在未来护理实践中的作用.
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