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Informative Article | Nursing | Volume 15 Issue 7, July 2026 | Pages: 622 - 626 | India
Artificial Intelligence in Nursing Education: A Narrative Review of Current Applications, Pedagogical Benefits, Challenges, and Future Directions
Abstract: AI is changing the way nursing students learn, practise clinical reasoning and build competencies before they care for real-world patients. This review synthesises present uses of AI in nursing education, such as intelligent tutoring systems, virtual patient simulations, adaptive learning platforms, natural language processing tools, and clinical decision support training. It further discusses pedagogical benefits, barriers for implementation, ethical considerations, and faculty readiness issues of this integration. Finally, it highlights emerging trends and future directions for curriculum development, faculty development, and research to support the responsible and effective integration of AI into nursing education. As AI becomes increasingly embedded in healthcare practice, preparing nursing graduates to use these technologies critically, ethically, and safely will be essential for delivering high-quality, patient-centred care. The article concludes with a discussion of future directions for curriculum design and research.
Keywords: Integration, Artificial Intelligence (AI), Nursing, Education, Simulation
How to Cite?: Rinu Mathew, "Artificial Intelligence in Nursing Education: A Narrative Review of Current Applications, Pedagogical Benefits, Challenges, and Future Directions", Volume 15 Issue 7, July 2026, International Journal of Science and Research (IJSR), Pages: 622-626, https://www.ijsr.net/getabstract.php?paperid=SR26707145459, DOI: https://dx.doi.org/10.21275/SR26707145459