从护理学生的角度研究利用人工智能在护理学习中的经验 - - 一项定性研究
Pengding Lei1, Edward N Duo1, Yazhuo Gao1
1School of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
BMC nursing
|August 13, 2025
概括
人工智能 (AI) 整合到护理教育中可以提高学习成果. 学生 学生 学生 学生 学生
科学领域:
- 护理教育 护理教育
- 人工智能应用程序 人工智能应用程序
- 高等教育教学的教学.
背景情况:
- 人工智能 (AI) 正在彻底改变护理教育和知识获取.
- 了解学生与人工智能集成的经验对于优化其作用至关重要.
研究的目的:
- 探索本科护理学生与AI整合在他们的教育的经验.
- 在护理课程中确定改善学习成果和人工智能有效性的策略.
主要方法:
- 使用半结构面试进行的定性描述性研究.
- 针对21名本科护理学生进行了有目的的抽样.
- 采访数据的传统内容分析.
主要成果:
- 出现了五个关键主题:人工智能功能,内容,性能,态度/行为影响和学术伦理.
- 13个子主题提供了对学生体验的详细见解.
- 确定了人工智能在护理教育中的好处和挑战.
结论:
- 人工智能辅助教学是护理教育中日益增长的趋势.
- 优化人工智能的有效性需要专注于学习成果,风险管理和道德考虑.
- 将人工智能与传统方法相平衡,并确保学术完整性,对于成功的整合至关重要.
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