This systematic review examines fifteen years of research to illustrate how artificial intelligence is reshaping nursing pedagogy across academic and clinical settings. By synthesizing data from twenty-eight empirical studies, the text identifies that AI excels at creating personalized learning paths, enhancing high-stakes simulation training, and providing instantaneous, unbiased feedback to students. While the research celebrates gains in instructional efficiency and predictive analytics, it also cautions against ethical risks such as data privacy and the digital divide. Ultimately, the source serves as a strategic roadmap for educators, advocating for multi-site pilot programs that prioritize adaptive platforms and diagnostic accuracy to improve modern healthcare training.