Articles | Open Access | https://doi.org/10.55640/

Artificial Intelligence in Nursing Education: Revolutionizing Pedagogical Approaches for Future Nurses

Dr. Mei Chen , Department of Nursing, Peking University Health Science Center, China

Abstract

Artificial intelligence (AI) is transforming nursing education by introducing innovative pedagogical strategies that better prepare future nurses for complex healthcare environments. This paper explores how AI-driven tools, including intelligent tutoring systems, virtual simulations, and adaptive learning platforms, are reshaping curricula, enhancing clinical decision-making skills, and fostering personalized learning experiences. The integration of AI technologies enables educators to deliver data-driven instruction tailored to individual learners’ needs, while immersive simulations improve critical thinking and competency development. Despite the promise of these advancements, challenges remain regarding ethical considerations, data privacy, and the readiness of institutions to adopt AI-based solutions. This study synthesizes current research and best practices, highlighting the potential of AI to revolutionize nursing education and recommending strategies for successful implementation.

Keywords

Artificial intelligence, nursing education, intelligent tutoring systems

References

Nandeesh Kumar, P. R. (2024). Artificial intelligence (AI) in nursing. International Journal of Advance Research in Nursing, 7(1), 82–85. https://doi.org/10.33545/nursing.2024.v7.i1.B.370

Robert, N. (2019). How artificial intelligence is changing nursing. Nursing Management (Springhouse), 50(9), 30–39. https://doi.org/10.1097/01.NUMA.0000578988.56622.21

Douthit, B. J., et al. (2022, January). Artificial intelligence in nursing. American Nurse. Retrieved from https://www.myamericannurse.com/ai-artificialintelligence-in-nursing/

Glauberman, G., Ito-Fujita, A., Katz, S., & Callahan, J. (2023). Artificial intelligence in nursing education: Opportunities and challenges. Hawaii Journal of Health & Social Welfare, 82(12), 302–305. https://pubmed.ncbi.nlm.nih.gov/38093763

Qutishat, M., et al. (2025, June). Benefits, challenges and future recommendations in the integration of AI in nursing education. Teaching and Learning in Nursing. https://doi.org/10.1016/j.teln.2025.05.016

Mahmoudi, H., et al. (2024, May). The progress and future of AI in nursing care. The Open Public Health Journal. https://doi.org/10.2174/0118749445304699240416074458

Topaz, M., & Pruinelli, L. (2017). Big data and nursing: Implications for the future. Studies in Health Technology and Informatics, 232, 165–171. https://doi.org/10.3233/978-1-61499-738-2-165

Risling, T., & Nagle, L. (2018). Educating the nurses of tomorrow: The impact of informatics and technology. Nursing Education Perspectives, 39(6), 356–357. https://doi.org/10.1097/01.NEP.0000000000000421

Jones, R., & Brown, C. (2021). Artificial intelligence and the transformation of nursing education: Critical perspectives. Nurse Education Today, 102, Article 104931. https://doi.org/10.1016/j.nedt.2021.104931

Saleh, U., O'Connor, T., Al-Subhi, H., Alkattan, R., & Patton, D. (2020). The impact of artificial intelligence on clinical education: Nurse educators’ perceptions. Nurse Education in Practice, 49, Article 102902. https://doi.org/10.1016/j.nepr.2020.102902

Jebraeily, M., Fazlollahi, Z., & Rahimi, B. (2017). The most important challenges of medical information systems integration and interoperability: A scoping review. Journal of the Medical Library Association, 105(4), 364–375. https://doi.org/10.5195/jmla.2017.206

Booth, R. G., Strudwick, G., McBride, S., O’Connor, S., & Solano Lopez, A. L. (2021). How the nursing profession should adapt for a digital future. BMJ, 373, Article n1190. https://doi.org/10.1136/bmj.n1190

McGonigle, D., Hunter, K., Sipes, C., & Hebda, T. (2014). Why nurses need to understand nursing informatics. AORN Journal, 100(3), 324–327. https://doi.org/10.1016/j.aorn.2014.06.007

Strudwick, G., Nagle, L., Morgan, A., Kennedy, M. A., Currie, L. M., & Hardiker, N. R. (2019). Adapting the clinical informatics workforce to artificial intelligence: A scoping review. Nursing Leadership, 32(3), 31–45. https://doi.org/10.12927/cjnl.2019.26030

Fairchild, R. M., Gubrud, P., & Kagan, R. J. (2021). Artificial intelligence in nursing: Considerations for practice and education. Journal of Nursing Regulation, 12(4), 49–56. https://doi.org/10.1016/S2155-8256(21)00094-7

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Artificial Intelligence in Nursing Education: Revolutionizing Pedagogical Approaches for Future Nurses. (2025). International Journal of Nursing Sciences, 5(01), 9-12. https://doi.org/10.55640/