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Sun, DNP, APRN, FNP-BC (Assistant Dean of APRN Programs, Clinical Professor)1  \nABSTRACT  \nThe rapid integration of artificial intelligence (AI) into health care necessitates a parallel evolution in nurse practitioner (NP) education. This article examines the imperative for NP programs to incorporate AI literacy, ensuring that graduates are prepared to navigate and lead within AI-enhanced clinical environments. Strategies are presented for embedding AI concepts into curricula, including the use of AI-powered assignments and simulations to foster critical thinking, diagnostic reasoning, and ethical discernment. Broader pedagogical shifts are explored, emphasizing the need for faculty to adapt teaching methods, reassess assessment models, and embrace emerging technologies with intentionality. Key considerations, such as equity, faculty development, and responsible use, are addressed as essential components of successful integration. By proactively engaging with these challenges, NP educators can prepare students not only to adapt to the changing landscape of health care but also to shape its future with competence, clarity, and care.  \nKeywords: AI literacy; artificial intelligence; clinical simulation; diagnostic reasoning; educational innovation; nurse practitioner education.  \nJournal of the American Association of Nurse Practitioners 37 (2025) 491–499, © 2025 American Association of Nurse Practitioners DOI\\# 10. 1097/JXX.0000000000001170  \nIntroduction  \nThe emergence of generative artificial intelligence (AI) has ushered in a transformative era across sectors, including health care and higher education (Topaz et al., 2024) . As clinical environments become increasingly data driven and decision making is augmented by intelligent systems, the nurse practitioner (NP) workforce must be prepared not only to navigate this landscape but also to lead within it. This moment of disruption demands more than technical adaptation; it calls for a reimagining of how we educate, assess, and empower the next generation of advanced practice nurses (Rony, Parvin, & Ferdousi, 2024) .  \nDespite rapid technological evolution, many NP education programs have yet to meaningfully integrate AI into their curricula (Raymond et al., 2022) . Traditional educational models—rooted in static content delivery, standardized assessment, and faculty-centered knowledge transmission—are increasingly misaligned with the needs of a profession that now intersects with machine  \n1University of Texas at Tyler, Tyler, Texas  \nCorrespondence: Grace H. Sun, DNP, APRN, FNP-BC; E-mail: gsun@ [uttyler.edu](uttyler.edu)  \nReceived: 3 April 2025; revised: 5 June 2025; accepted 9 June 2025  \nlearning, predictive analytics, and AI-assisted clinical tools (Ramadan et al., 2024) . Meanwhile, students are encountering these technologies informally and independently, often without guidance on responsible use, ethical implications, or clinical application.  \nThis article reinforces an argument ofCastonguay et al.(2023) that AI integration in NP education is not simply an innovation—it is an imperative. Educators must expand their role from content experts to digital guides, fostering not only AI literacy but also critical thinking, ethical discernment, and the professional judgment required in AIenhanced practice settings (Mahmoudi & Moradi, 2024; Ramadan et al., 2024) . Through thoughtful assignment design, simulation innovation, and a renewed approach to pedagogy, faculty can ensure that students are not merely passive consumers of technology but active informed participants in shaping its role in health care (Montejo et al., 2024; Ramrez-Baraldes et al., 2025) .  \nWhat follows is a synthesis of practical strategies and philosophical considerations for incorporating AI into NP education. Drawing on real-world examples and re","cbCailEuKxUg8fnR","https://ap.wps.com/l/cbCailEuKxUg8fnR","pdf",2316890,"English","# Introduction\n## Teaching artificial intelligence literacy to nurse practitioner students","[{\"question\":\"Why must NP education incorporate AI literacy?\",\"answer\":\"AI integration in health care creates a need for NP programs to prepare graduates to navigate and lead in AI-enhanced clinical environments. The article frames this as a professional imperative rather than an optional skill.\"},{\"question\":\"What teaching strategies does the article propose for AI integration?\",\"answer\":\"The article recommends embedding AI concepts into curricula through AI-powered assignments and clinical simulations. It emphasizes fostering critical thinking, diagnostic reasoning, and ethical discernment.\"},{\"question\":\"How should faculty and assessment practices change?\",\"answer\":\"Faculty are expected to adapt teaching methods and reassess assessment models to align with an AI-integrated future. The article highlights the importance of faculty development and intentional adoption of emerging technologies.\"}]","Integrating artificial intelligence into nurse practitioner education - Strategies for teaching the next generation of nurse practitioners | PDF",1789979248,23]