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Empowering Future Nurses: Integrating Artificial Intelligence into Nursing Education

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DOI: 10.23977/avte.2026.080204 | Downloads: 0 | Views: 17

Author(s)

Zhang Nan 1

Affiliation(s)

1 International School of Nursing, Hainan Vocational University of Science and Technology, Haikou, 571137, China

Corresponding Author

Zhang Nan

ABSTRACT

Artificial intelligence (AI) is increasingly transforming healthcare and creating new competency requirements for future nurses. This narrative review examines the applications, benefits, challenges, and curriculum implications of integrating AI into nursing education. Current evidence shows that AI can support personalised learning, intelligent tutoring, automated feedback, teaching preparation, virtual patients, and simulation-based training. These applications may improve students' knowledge acquisition, engagement, communication, clinical reasoning, decision-making, and readiness for practice. However, AI integration also raises concerns about inaccurate or fabricated information, algorithmic bias, patient privacy, data security, academic integrity, accountability, and excessive dependence on automated tools. Differences in faculty readiness, institutional resources, and access to technology may further limit effective and equitable implementation. Preparing future nurses for AI-enabled healthcare therefore requires more than technical skills. Nursing students need AI literacy, critical evaluation skills, information verification ability, ethical awareness, data protection knowledge, and strong clinical judgement. AI content should be progressively integrated into nursing informatics, ethics, research, clinical, and simulation courses, supported by faculty development, clear institutional policies, and assessment methods that evaluate students' reasoning processes. Future research should use longitudinal, experimental, and multicentre designs to examine the long-term effects of AI on clinical competence, patient safety, and professional practice. AI should ultimately enhance rather than replace nurses' clinical judgement, ethical responsibility, communication, and compassionate care.

KEYWORDS

Artificial intelligence; Nursing education; AI literacy; Clinical competency; Simulation; Generative AI

CITE THIS PAPER

Zhang Nan. Empowering Future Nurses: Integrating Artificial Intelligence into Nursing Education. Advances in Vocational and Technical Education (2026). Vol. 8, No. 2, 30-35. DOI: http://dx.doi.org/10.23977/avte.2026.080204.

REFERENCES

[1] World Health Organization. (2024). Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models. https://www.who.int/publications/i/item/9789240084759
[2] Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2021). Predicted influences of artificial intelligence on nursing education: Scoping review. JMIR Nursing, 4(1), Article e23933. https://doi.org/10.2196/23933
[3] Montejo, L., Fenton, A., & Davis, G. (2024). Artificial intelligence (AI) applications in healthcare and considerations for nursing education. Nurse Education in Practice, 80, Article 104158. https://doi.org/10.1016/j.nepr.2024.104158
[4] Chan, M. M. K., Wan, A. W. H., Cheung, D. S. K., Choi, E. P. H., Chan, E. A., Yorke, J., & Wang, L. (2025). Integration of artificial intelligence in nursing simulation education: A scoping review. Nurse Educator, 50(4), 195–200. https://doi.org/10.1097/NNE.0000000000001851
[5] Gunawan, J., Aungsuroch, Y., & Montayre, J. (2024). ChatGPT integration within nursing education and its implications for nursing students: A systematic review and text network analysis. Nurse Education Today, 141, Article 106323. https://doi.org/10.1016/j.nedt.2024.106323
[6] Lifshits, I., & Rosenberg, D. (2024). Artificial intelligence in nursing education: A scoping review. Nurse Education in Practice, 80, Article 104148. https://doi.org/10.1016/j.nepr.2024.104148
[7] World Health Organization. (2021). Ethics and governance of artificial intelligence for health: WHO guidance. https://www.who.int/publications/i/item/9789240029200
[8] Shishehgar, S., Murray-Parahi, P., Alsharaydeh, E., Mills, S., & Liu, X. (2025). Artificial intelligence in health education and practice: A systematic review of health students’ and academics’ knowledge, perceptions, and experiences. International Nursing Review, 72(2), Article e70045. https://doi.org/10.1111/inr.70045
[9] Labrague, L. J., & Al Sabei, S. (2025). Integration of AI-powered chatbots in nursing education: A scoping review of their utilization, outcomes, and challenges. Teaching and Learning in Nursing, 20(1), e285–e293. https://doi.org/10.1016/j.teln.2024.11.010
[10] Ma, J., Wen, J., Qiu, Y., Wang, Y., Xiao, Q., Liu, T., Zhang, D., Zhao, Y., Lu, Z., & Sun, Z. (2025). The role of artificial intelligence in shaping nursing education: A comprehensive systematic review. Nurse Education in Practice, 84, Article 104345. https://doi.org/10.1016/j.nepr.2025.104345
[11] Foronda, C. L., Fernandez-Burgos, M., Nadeau, C., Kelley, C. N., & Henry, M. N. (2020). Virtual simulation in nursing education: A systematic review spanning 1996 to 2018. Simulation in Healthcare, 15(1), 46–54. https://doi.org/10.1097/SIH.0000000000000411
[12] Labrague, L. J., Al Sabei, S., & Al Yahyaei, A. (2025). Artificial intelligence in nursing education: A review of AI-based teaching pedagogies. Teaching and Learning in Nursing, 20(3), 210–221. https://doi.org/10.1016/j.teln.2025.01.019
[13] Amankwaa, I., Ekpor, E., Cudjoe, D., Kobiah, E., Fuseini, A.-K. J., Diebieri, M., Gyamfi, S., & Brownie, S. (2025). Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review. Nurse Education Today, 153, Article 106822. https://doi.org/10.1016/j.nedt.2025.106822
[14] Topaz, M., Peltonen, L.-M., Michalowski, M., Stiglic, G., Ronquillo, C., Pruinelli, L., Song, J., O’Connor, S., Miyagawa, S., & Fukahori, H. (2025). The ChatGPT effect: Nursing education and generative artificial intelligence. Journal of Nursing Education, 64(6), e40–e43. https://doi.org/10.3928/01484834-20240126-01
[15] Simms, R. C. (2024). Work with ChatGPT, not against: 3 teaching strategies that harness the power of artificial intelligence. Nurse Educator, 49(3), 158–161. https://doi.org/10.1097/NNE.0000000000001634
[16] Sengul, T., Sariköse, S., & Gul, A. (2025). Ethical decision-making and artificial intelligence in nursing education: An integrative review. Nursing Ethics, 32(8), 2490–2515. https://doi.org/10.1177/09697330251366600
[17] Miao, F., Shiohira, K., & Lao, N. (2024). AI competency framework for students. UNESCO. https://doi.org/10.54675/JKJB9835
[18] Simms, R. C. (2025). Generative artificial intelligence (AI) literacy in nursing education: A crucial call to action. Nurse Education Today, 146, Article 106544. https://doi.org/10.1016/j.nedt.2024.106544
[19] Tomlinson, E., Schoch, M., & McDonall, J. (2026). A curriculum framework for embedding artificial intelligence literacies in pre-registration nursing education. Nurse Education Today, 158, Article 106928. https://doi.org/10.1016/j.nedt.2025.106928
[20] El Arab, R. A., Al Moosa, O. A., Abuadas, F. H., & Somerville, J. (2025). The role of AI in nursing education and practice: Umbrella review. Journal of Medical Internet Research, 27, Article e69881. https://doi.org/10.2196/69881

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