人工智能辅助学习对护理学生在儿科护理中的伦理决策和临床推理的影响:一项准实验性研究
Hyewon Shin1, Jennie C De Gagne, Sang Suk Kim
1Author Affiliations: College of Nursing, Ewha Womans University, Seoul, Republic of Korea (Dr. Shin); School of Nursing, Duke University, Durham, NC, United States (Dr. De Gagne); and Red Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea (Dr. Kim); and College of Nursing, Institute of Health Sciences, Gyeongsang National University, Jinju, Republic of Korea (Dr. Hong).
Computers, informatics, nursing : CIN
|August 16, 2024
概括
与传统教科书相比,像ChatGPT这样的人工智能工具并没有改善护理学生的伦理决策或临床推理. 教师应该将人工智能与传统方法相结合,以获得更好的结果.
科学领域:
- 护理教育 护理教育
- 教育技术的教育技术
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 融入教育带来了新的机遇和挑战.
- 评估人工智能对关键护理技能 (如道德决策和临床推理) 的影响至关重要.
研究的目的:
- 评估人工智能辅助学习 (使用ChatGPT) 与传统教科书对护理学生道德决策和临床推理的影响.
- 将护理学生在人工智能辅助和传统学习小组之间的伦理标准和护理过程中的表现进行比较.
主要方法:
- 一项准实验性研究涉及99名在儿科护理课程的护理学生.
- 随机分配到实验组 (ChatGPT) 或对照组 (教科书).
- 曼-惠特尼U测试用于分析伦理标准和护理过程中的差异.
主要成果:
- 与AI组相比,对照组 (教科书) 在伦理标准和临床推理方面表现优越.
- 使用人工智能的学生在反思性论文中报告了更低的可靠性,但更高的时间效率.
- 人工智能提供了多样化的视角,但没有增强核心决策技能.
结论:
- 传统的学习方法在培养护理学生的伦理决策和临床推理方面可能比单独的AI更有效.
- 教师必须将人工智能与促进批判性思维,数据选择和来源验证的策略相结合.
- 建议采用结合人工智能和传统方法的混合方法来提高护理学生的技能.
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