用人工智能重新定义教学:护理学生如何塑造学习的未来
Animesh Ghimire1, Yunjing Qiu2
1School of Nursing and Midwifery, Monash University, Wellington Rd, Clayton, VIC 3800, Australia.
Nurse education in practice
|March 16, 2025
概括
本科护理学生广泛使用人工智能 (AI) 工具进行个性化学习,克服学习挑战,尽管有机构的劝阻. 这凸显了护理课程需要更新的教育策略和道德AI指南的需要.
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:
- 医疗保健的快速AI整合需要改变护理教育.
- 关于护理学生使用人工智能工具及其学习影响的研究有限.
- 人工智能在教育中的潜在好处和挑战需要在护理课程中进一步调查.
研究的目的:
- 探索影响本科护理学生使用人工智能 (AI) 工具的因素.
- 检查人工智能工具的使用如何塑造护理学生的学习经验.
- 在AI整合的背景下,了解传统教学方法的看法.
主要方法:
- 具有探索性和描述性设计的定性研究.
- 采访在高等大学的本科护理学生进行.
- 专题分析应用于采访数据,以获得深入的见解.
主要成果:
- 学生利用人工智能进行个性化的学习,弥合理论与实践之间的差距,以及时间管理.
- 国际学生发现人工智能对文化适应和语言支持有好处.
- 人工智能使用存在普遍的"公开秘密",表明学生需求和机构政策之间存在差距,以及关于偏见,隐私和问责制的伦理问题.
结论:
- 由学生驱动的对人工智能在护理教育中的整合需求是显而易见的.
- 机构必须变得更加响应,透明,并制定道德的人工智能框架.
- 将人工智能的好处与同情心和同情心等核心护理价值观相平衡,对于有效的整合至关重要.
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