Artificial intelligence in modern nursing education

Authors

DOI:

https://doi.org/10.11603/2411-1597.2026.2.16464

Keywords:

artificial intelligence, generative artificial intelligence, ChatGPT, nursing education, digital competence, clinical simulation, personalized learning

Abstract

Introduction. The article explores the theoretical and applied aspects of integrating artificial intelligence (AI) into the training of future nurses. The relevance of the work lies in the rapid digitalization of healthcare and the need to modernize educational programs to develop new professional competencies in students. The purpose of the study is to conduct a comprehensive analysis of modern directions of AI application in nursing education, identifying its advantages, challenges, and strategic prospects.

The aim of the study – to conduct a comprehensive analysis of modern directions in the application of artificial intelligence in nursing education, to identify its potential advantages and challenges, and to substantiate the prospects for improving the training of future nurses in the context of the digitalization of the healthcare system.

The main part. It was found that the most promising areas of AI application in nursing education are personalized learning, adaptive educational trajectories, generative chatbots, virtual patients, robotic simulators, virtual and augmented reality technologies, automated assessment, predictive analytics, and analysis of educational data. The use of these technologies contributes to the development of clinical thinking, decision-making skills, professional communication, digital literacy, and students’ readiness for clinical practice. At the same time, the main challenges of implementing AI were identified, in particular, confidentiality and data security, algorithmic bias, academic integrity, ethical aspects of the use of digital technologies, and insufficient readiness of teachers and students for their effective application. It is emphasized that artificial intelligence should complement, not replace, the teacher, and its implementation should be carried out while preserving the humanistic values ​​of the nursing profession - empathy, moral responsibility and a patient-centred approach.

Conclusions. The integration of artificial intelligence is a strategic direction for modernizing nursing education and an important condition for training competitive, technologically literate, and empathy-oriented specialists.

References

Jaboob, A., Durrah, O., & Chakir, A. (2024). Artificial intelligence: An overview. Engineering Applications of Artificial Intelligence, 3-22. DOI: https://doi.org/10.1007/978-3-031-50300-9_1

Onyejelem, T.E., & Aondover, E.M. (2024). Digital generative multimedia tool theory (DGMTT): A theoretical postulation in the era of artificial intelligence. Advances in Machine Learning and Artificial Intelligence, 5 (2), 1-9. DOI 10.13140/RG.2.2.20175.705603. DOI: https://doi.org/10.33140/AMLAI.05.02.10

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

Young, C.S., & Kindred, D.M. (2024). A historical perspective on artificial intelligence in higher education.

UNESCO (2023). ChatGPT and artificial intelligence in higher education: Quick start guide. https://unesdoc.unesco.org/ark:/48223/pf0000385146.

Booth, R.G., Strudwick, G., McBride, S. et al. (2021). How the nursing profession should adapt for a digital future. BMJ, 373, n1190. DOI 10.1136/bmj.n1190. DOI: https://doi.org/10.1136/bmj.n1190

Buchanan, C., Howitt, M.L., Wilson, R. et al. (2021). Predicted influences of artificial intelligence on nursing education and practice. Journal of Nursing Scholarship, 53 (2), 150-160.

Buchanan, C., Lunsford, D., & Thompson, J. (2022). Artificial intelligence and nursing education: Preparing nurse educators for the future. Nurse Educator, 47 (4), 193-198.

Saba, K. M. M., & McCormick, K. A. (Eds.). (2021). Artificial intelligence in nursing. Springer.

Chan, M.M.K., Wan, A.W.H., Cheung, D.S.K. et al. (2025). Integration of artificial intelligence in nursing simulation education: A scoping review. Nurse Educator, 50 (3), E95-E101. DOI: https://doi.org/10.1097/NNE.0000000000001851

Alrazeeni, D.M., Alharrasi, M., Rony, M.K.K. et al. (2026). Transforming nursing education with artificial intelligence: A systematic review. SAGE Open Nursing, 12, 23779608261424597. DOI 10.1177/23779608261424597. DOI: https://doi.org/10.1177/23779608261424597

Sengul, T., & Sarıköse, S. Enhancing learning outcomes through AI-driven simulation in nursing education: A systematic review (2025). Clinical Simulation in Nursing, 106, 101797. DOI 10.1016/j.ecns.2025.101797. DOI: https://doi.org/10.1016/j.ecns.2025.101797

Ponce de León, C.G.R.M., Mano, L.Y., Fernandes, D.S. et al. (2023). Artificial intelligence in the analysis of emotions of nursing students undergoing clinical simulation. Revista Brasileira de Enfermagem, 76 (Suppl 4), e20210909. DOI 10.1590/0034-7167-2021-0909. DOI: https://doi.org/10.1590/0034-7167-2021-0909pt

Alsharari, A.F., Salihu, D., & Alshammari, F.F. (2025). Effectiveness of virtual clinical learning in nursing education: A systematic review. BMC Nursing, 24 (1), 432. DOI 10.1186/s12912-025-03076-y. DOI: https://doi.org/10.1186/s12912-025-03076-y

Technology Informatics Guiding Education Reform (TIGER) Initiative (2021). TIGER informatics competencies collaborative final report.

Topaz, M. et al. (2023). Nursing informatics and artificial intelligence competencies for the future nursing workforce. Nursing Outlook, 71 (6), 101984.

Risling, T. (2017). Educating the nurses of 2025: Technology trends of the next decade. Nurse Education in Practice, 22, 89-92. DOI 10.1016/j.nepr.2016.12.007. DOI: https://doi.org/10.1016/j.nepr.2016.12.007

World Health Organization (2021). Ethics and governance of artificial intelligence for health. https://www.who.int/publications/i/item/9789240029200.

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, e69881. DOI 10.2196/69881. DOI: https://doi.org/10.2196/69881

Published

2026-05-29

Issue

Section

Articles

How to Cite

Artificial intelligence in modern nursing education. (2026). Nursing, 2, 19-24. https://doi.org/10.11603/2411-1597.2026.2.16464