Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students

In this episode of Nursing Edge Unscripted, hosted by Steven Palazzo, Dr. Beth Ann Swan and colleagues discuss their article, Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students, and explore how AI is reshaping simulation-based nursing education. The conversation highlights practical applications of artificial intelligence in both undergraduate and advanced nursing programs, including the use of AI to enhance clinical decision-making, personalize learning experiences, and create more adaptive simulation scenarios. The guests explain how AI tools can support faculty by streamlining scenario development, providing real-time feedback, and generating data to inform debriefing and assessment. They also address challenges such as ethical considerations, data privacy, faculty readiness, and the importance of maintaining sound pedagogical principles when adopting emerging technologies. Overall, the episode emphasizes that thoughtful integration of AI into simulation can strengthen student engagement, clinical reasoning, and preparation for contemporary practice across the nursing education continuum.Swan, B. A., Giordano, N. A., Febres-Cordero, S., Fugate, K., & Steiger, L. (2026). Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students. Nursing education perspectives, 47(2), 129–130. https://doi.org/10.1097/01.NEP.0000000000001397Dedicated to excellence in nursing, the National League for Nursing is the leading organization for nurse faculty and leaders in nursing education. Find past episodes of the NLN Nursing EDge podcast online. Get instant updates by following the NLN on LinkedIn, Facebook, Instagram, Bluesky, and YouTube. For more information, visit NLN.org.