The application of generative artificial intelligence in the cultivation of scientific research literacy of nursing postgraduates: a scoping review

Abstract

Background/objective Generative artificial intelligence is profoundly transforming the field of nursing. Nursing education needs to make corresponding progress to cultivate nursing personnel who can adapt to the technological environment. Conduct a scoping review on the application of generative artificial intelligence in cultivating research literacy among nursing graduate students to provide a reference for future paradigm shifts in graduate education. Method Following the methodological framework of scoping reviews, relevant studies were systematically retrieved from Chinese and English databases. The search period spanned from the inception of the databases to January 10, 2026. Two researchers independently screened and extracted data, and summarized and analyzed the included literature. Results A total of 12 articles were included. The application of Gen AI in nursing graduate research literacy training primarily encompasses paper writing and revision, enhancing innovative and critical thinking skills, and improving learning and research efficiency. Nevertheless, caution is still required regarding information accuracy and ethical safety. Conclusion Gen AI may play a positive role in cultivating research literacy among nursing graduate students, but corresponding research is still in its early stages. Future research should strengthen experimental studies, provide empirical research containing data, actively integrate cutting-edge technologies, promote their in-depth application in this field, while ensuring the safety and effectiveness of the technology, thereby effectively promoting innovation and development in nursing.

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