对NCLEX-RN问题的比较分析:聊天GPT和人类专业知识之间的决斗
The Journal of nursing education
|December 4, 2023
概括
人工智能 (AI) 可以帮助创建护理教育的NCLEX-RN问题. 参与者更喜欢人工智能生成的问题,这表明人工智能有助于教育工作者的潜力.
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 教育评估的教育评估
背景情况:
- 人工智能 (AI) 对护理教育具有变革性的潜力.
- 这项研究调查了人工智能生成的NCLEX-RN风格问题与教育工作者创建的NCLEX-RN风格问题的有效性.
研究的目的:
- 为了比较人工智能生成的NCLEX-RN问题与传统开发的NCLEX-RN问题的质量和教师偏好.
- 评估人工智能在提高护理教育和评估工具中的作用.
主要方法:
- 来自认可的学士学位课程的教师评估了人工智能生成和教育工作者撰写的问题.
- 统计分析 (曼-惠特尼U,奇方,二项式测试) 对比了语法,清晰度,临床相关性和术语.
- 定性分析探讨了有关问题生成的教师主题.
主要成果:
- 人工智能生成的问题和教育工作者创建的问题表现出可比的清晰度,语法和难度.
- 在两个问题类型中,临床相关性和复杂的术语都相似.
- 在四个评估组中的三组中,参与者更喜欢人工智能生成的问题.
结论:
- 人工智能是一个有前途的工具,可以帮助教师生成NCLEX-RN风格问题.
- 教师的专业知识对于完善人工智能辅助和教育工作者开发的评估项目至关重要.
- 人工智能可以通过简化为NCLEX-RN考试创建实践材料来支持护理教育.
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