Abstract: Objective: To conduct a scoping review of the application of Artificial Intelligence in nursing education, understand the current situation, and provide references for future practical research. Methods: Following the framework of a scoping review, we systematically searched relevant studies in Chinese and English databases from their inception to February 28, 2025, and summarized and analyzed the included literature. Results: A total of 21 studies were included in the review. The application modalities of Artificial Intelligence in nursing education encompass machine learning, natural language processing, computer vision, and robotics. The primary application contexts include intelligent educational environments, support for intelligent learning processes, intelligent educational assessment, and intelligent teaching assistants. The evaluation criteria primarily focus on effectiveness and feasibility. Conclusion: Artificial Intelligence technologies have demonstrated significant potential and positive outcomes across various aspects of nursing education. Future research should focus on further optimizing teaching content, improving evaluation index systems, and conducting high-quality long-term effectiveness tracking studies. These efforts are essential to advancing intelligent education systems and enhancing the quality of nursing education and training.

Key words: Artificial Intelligence; nursing education; scoping review