Huang Chu-Yu, Duh Ching-Miin, Cheng Su-Fen
PhD, RN, Professor, School of Nursing, Cedarville University, Ohio, USA.
PhD, Associate Professor, Department of Information Management, National Taipei University of Nursing and Health Sciences, Taiwan, ROC.
Hu Li Za Zhi. 2021 Dec;68(6):25-31. doi: 10.6224/JN.202112_68(6).05.
With the rapid advancement of information technology, artificial intelligence (AI) is being progressively utilized in various fields. The application of AI in healthcare practice is more advanced than in healthcare education. The advancement of AI is unstoppable. Nursing educators need to have a good understanding of AI to equip nursing students with the requisite knowledge to meet the needs of the AI age. The purpose of this article is to briefly describe the history of AI in education, relevant AI concepts, current applications of AI in healthcare education, dilemmas, and recommendations for the future. AI is not invincible, and it is critical to prudently evaluate and consider the related data biases and ethical issues. Nursing educators should reflect on whether we are preparing students for yesterday`s job or for the future workforce. Nursing educators need to engage in curriculum reform and gain an understanding of critical AI concepts and applications to equip nursing students with the requisite information-technology capacities to meet the needs of the AI age.
随着信息技术的飞速发展,人工智能(AI)正逐渐应用于各个领域。人工智能在医疗实践中的应用比在医学教育中更为先进。人工智能的发展势不可挡。护理教育工作者需要充分了解人工智能,以便为护理专业学生提供必要的知识,以满足人工智能时代的需求。本文旨在简要介绍人工智能在教育领域的发展历程、相关概念、当前在医学教育中的应用、困境以及对未来的建议。人工智能并非无敌,谨慎评估和考虑相关的数据偏差和伦理问题至关重要。护理教育工作者应反思,我们是在让学生为过去的工作做准备,还是为未来的劳动力市场做准备。护理教育工作者需要进行课程改革,了解关键的人工智能概念和应用,以便为护理专业学生提供必要的信息技术能力,以满足人工智能时代的需求。