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人工智能在研究生护理教育中的应用:教育评估
Michael D Bumbach1, Jane M Carrington, Rene Love
1College of Nursing, University of Florida, Gainesville, Florida.
概括
高级实践护士可以通过新的教育任务学会负责任地使用生成人工智能 (AI). 护理实践博士 (DNP) 信息学课程成功集成了一个ChatGPT作业,为学生准备在护理实践中使用人工智能.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 正在快速发展,需要先进实践护士负责任地使用它.
- 2021年美国护理学院协会 (AACN) 基本能力要求护理实践博士 (DNP) 学生拥有人工智能知识.
- 文献审查显示,DNP信息学课程中没有现有的ChatGPT任务示例.
研究的目的:
- 描述DNP学生学习和使用生成文本AI (ChatGPT) 的新作作业.
- 将人工智能教育整合到DNP信息学课程中,与AACN Essentials保持一致.
- 评估学生的接待和在基于AI的作业中遇到的挑战.
主要方法:
- 开发了一个新的ChatGPT作业,包括一个学生指南和DNP信息学课程的评分表.
- 学生有时间熟悉AI聊天机器人技术.
- 该作业要求学生使用ChatGPT开发与实践相关的工具.
主要成果:
- 任务很明确,学生的问题很少,表明有效的整合.
- 开发简单患者工具的学生使用ChatGPT取得了成功.
- 尝试复杂患者工具的学生面临更多的挑战,突出了当前AI的局限性.
结论:
- 基于人工智能的作业对研究生护理教育有价值,使学生熟悉人工智能和最佳实践.
- 开发的作业得到了学生的好评,并将被重复使用.
- 护理教育和实践必须适应人工智能的日益普及.
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