Wu Hua-Shan
PhD, RN, Distinguished Professor, Department of Nursing, School of Nursing, Asia University, Taiwan, ROC.
Hu Li Za Zhi. 2024 Apr;71(2):20-25. doi: 10.6224/JN.202404_71(2).04.
Artificial intelligence (AI) technologies, including machine learning, deep learning, natural language processing, generative AI, the metaverse and other iterations, are rapidly changing the landscape of education. Related technologies not only enhance the teaching and learning process but also improve the quality and availability of educational content. AI facilitates educational transformation, reshapes teaching models, and helps students achieve their personalized learning needs, thus improving learning outcomes, learning efficiencies, and teaching practices. Despite the many AI application cases in nursing management and clinical practice, the application of AI in nursing education remains in its infancy. Machine learning has been used to predict the academic performance and graduation results of nursing students, thereby facilitating the early identification of additional support needs. Natural language processing technology has been used to develop chatbots and virtual teachers to assist learning, providing personalized learning support to help students overcome learning obstacles. Also, generative AI technologies such as ChatGPT (chat generative pre-trained transformer) have been used to create simulated patient cases and as a tool for grading academic writing automatically. Moreover, the combination of generative AI technology and the metaverse has introduced new possibilities to nursing education, allowing students to learn in a more-immersive virtual environment. Despite the significant benefits brought by AI to nursing education, its implementation and integration still face multiple challenges, including high costs, the need to provide technical training to teachers, and the need to address issues such as academic integrity and data privacy. The authors hope this article will help promote interdisciplinary cooperation between nursing educators and information and communication experts and the development of AI-assisted teaching to open a new chapter in nursing education.
人工智能（AI）技术，包括机器学习、深度学习、自然语言处理、生成式人工智能、元宇宙及其他迭代技术，正在迅速改变教育格局。相关技术不仅提升了教学过程，还提高了教育内容的质量和可获取性。人工智能推动教育变革，重塑教学模式，帮助学生实现个性化学习需求，从而提高学习成果、学习效率和教学实践水平。尽管人工智能在护理管理和临床实践中有诸多应用案例，但在护理教育中的应用仍处于起步阶段。机器学习已被用于预测护理专业学生的学业成绩和毕业结果，从而便于尽早确定额外的支持需求。自然语言处理技术已被用于开发聊天机器人和虚拟教师以辅助学习，提供个性化学习支持，帮助学生克服学习障碍。此外，诸如ChatGPT（聊天生成预训练变换器）之类的生成式人工智能技术已被用于创建模拟患者病例，并作为自动批改学术写作的工具。而且，生成式人工智能技术与元宇宙的结合为护理教育带来了新的可能性，使学生能够在更具沉浸感的虚拟环境中学习。尽管人工智能给护理教育带来了显著益处，但其实施与整合仍面临多重挑战，包括成本高昂、需要为教师提供技术培训，以及需要解决学术诚信和数据隐私等问题。作者希望本文将有助于促进护理教育工作者与信息通信专家之间的跨学科合作以及人工智能辅助教学的发展，从而开启护理教育的新篇章。
