相关实验视频
DNP教师2.0:在人工智能时代改变教学,研究和专业发展
Amanda Roesch1, Emily Fox2, Elizabeth Gatewood3
1School of Nursing, University of Maryland, Baltimore, MD, USA amanda.roesch@umaryland.edu.
Journal of doctoral nursing practice
|November 12, 2025
概括
人工智能 (AI) 正在改变护理实践博士 (DNP) 教育,要求教师适应教学和研究方法. 为人工智能整合准备DNP教师对于推进护理实践和维护道德标准至关重要.
科学领域:
- 护理教育 护理教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 的整合正在迅速改变医疗保健和教育.
- 护理实践博士 (DNP) 教师必须调整他们的教学,研究和领导力准备策略.
- 这种演变需要对教师的角色进行重新评估,以应对人工智能.
研究的目的:
- 检查人工智能对DNP教育的变革性影响.
- 确定支持教师发展和人工智能集成的战略.
- 解决关键障碍,如道德问题,数据安全和对变化的抵抗.
主要方法:
- 文献综述和专家见解的综合.
- 确定教师人工智能采用的机构战略.
- 分析在DNP项目中实施AI的障碍.
主要成果:
- 人工智能改善了DNP的教学策略,研究能力和领导力发展.
- 建议包括将人工智能素养嵌入DNP课程.
- 强调加强教师在道德和有效使用人工智能的能力.
结论:
- DNP教师必须领导人工智能整合的努力.
- 教师发展和机构支持对于成功采用人工智能至关重要.
- 与护理的专业和道德标准保持一致是至关重要的.
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