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开发和评估一个人工智能辅助的答案评估 (4A) 在护理教育认知评估
Piyanut Xuto1, Piyaporn Prasitwattanaseree1, Tareewan Chaiboonruang1
1Faculty of Nursing, Chiang Mai University, Chiang Mai 50200, Thailand.
Nursing reports (Pavia, Italy)
|March 26, 2025
概括
人工智能 (AI) 在护理教育评估中表现有希望. 一个人工智能辅助的答案评估 (4A) 程序可靠地评估了学生.
科学领域:
- 护理教育 护理教育
- 人工智能的人工智能
- 认知评估 认知评估
背景情况:
- 护理教育中的认知评估可以通过人工智能 (AI) 得到增强.
- 评估AI工具的准确性和可靠性对于教育应用至关重要.
研究的目的:
- 验证人工智能辅助答案评估 (4A) 程序用于护理教育中的认知评估.
- 评估4A程序的可靠性,准确性,精度和外部有效性.
主要方法:
- 一项验证研究涉及170名护理学生.
- 在AI和人类专家之间达成协议的类内相关系数 (ICC).
- 麦克纳马尔测试的准确性和精度比较.
- 对国家考试结果进行外部验证的后勤回归.
主要成果:
- 4A计划与人类专家之间的高度一致性 (ICC = 0.886).
- 人工智能和人类专家的评估没有显示出显著的性能差异 (麦克纳马测试,p = 0.527).
- 较高的4A分数显著预测了全国护士考试的成功 (OR: 1.124,p = 0.031).
结论:
- 4A程序可靠地评估护理学生的认知能力,并预测考试成功.
- 建议将人工智能纳入教育评估,需要对人工智能系统进行改进.
- 这项研究支持人工智能在提高护理教育评估方法方面的作用.
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