Generative artificial intelligence technologies, represented by large language models, are poised to impact educational ecosystems comprehensively. This article focuses on the nursing education field, first introducing the basic concepts and evolution of large language models. It then outlines typical applications of this technology in enabling innovative practices in nursing education, showcasing its immense potential in reshaping content generation methods, teaching models, educational settings, and evaluation systems. Additionally, the article analyzes key challenges that may arise, including inadequate professional construction, alienation in teacher-student relationships, over-reliance on digital tools, and unequal access to technology. By examining the frontier applications and potential risks of large language models in nursing education, this work aims to inspire ideas and provide references for the digital transformation of nursing education.

Generative artificial intelligence technologies, represented by large language models, are poised to impact educational ecosystems comprehensively. This article focuses on the nursing education field, first introducing the basic concepts and evolution of large language models. It then outlines typical applications of this technology in enabling innovative practices in nursing education, showcasing its immense potential in reshaping content generation methods, teaching models, educational settings, and evaluation systems. Additionally, the article analyzes key challenges that may arise, including inadequate professional construction, alienation in teacher-student relationships, over-reliance on digital tools, and unequal access to technology. By examining the frontier applications and potential risks of large language models in nursing education, this work aims to inspire ideas and provide references for the digital transformation of nursing education.