Undergraduate Nursing Students’ Perspective on Artificial Intelligence Integration in Advanced Nursing Research and Practice

Authors

  • Kiran Irfan Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan https://orcid.org/0009-0004-3563-2398
  • Sarfaraz Khowaja Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan https://orcid.org/0009-0005-3379-0170
  • Junaid Buriro Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan
  • Danish Siddiqui Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan
  • Kazia Ishaq Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan
  • Komal Ramzan Indus College of Nursing & Midwifery, Indus University of Health Sciences, Karachi, Pakistan https://orcid.org/0009-0008-2453-437X

DOI:

https://doi.org/10.48112/aessr.v6i1.1204

Abstract

Abstract Views: 385

Artificial Intelligence (AI) is rapidly transforming healthcare systems, medical research, and educational practices. In nursing education, AI technologies are increasingly being integrated to support learning, research activities, and clinical decision-making. Understanding undergraduate nursing students’ perspectives on AI integration is essential for preparing future nurses to work effectively in technology-driven healthcare environments. This discussion paper explores undergraduate nursing students’ perceptions regarding the integration of AI in advanced nursing research and practice. The study discusses the perceived benefits of AI, including enhanced learning experiences, improved research efficiency, and support for clinical decision-making. It also examines challenges such as ethical concerns, data privacy issues, limited AI literacy, and the risk of overreliance on technology. The paper further highlights the implications of AI integration for nursing education and suggests that nursing curricula should incorporate AI literacy, digital competencies, and ethical training. The findings emphasise the importance of preparing undergraduate nursing students to effectively use AI technologies while maintaining the human-centred values of nursing practice. Integrating AI-related competencies into nursing education can contribute to improved research capabilities, enhanced clinical practice, and better patient outcomes.

Keywords:

Artificial intelligence, Clinical practice, Digital health, Nursing education, Nursing research, Undergraduate nursing students

Author Biographies

Kiran Irfan,

She is a Lecturer at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. She completed her Masters Degree in Health Sciences from Jinnah Sindh Medical University (JSMU), Karachi, Pakistan.

Sarfaraz Khowaja,

He is a Research Scholar at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. He completed his Bachelors Degree in Health Sciences from Jinnah Sindh Medical University (JSMU), Karachi, Pakistan.

Junaid Buriro,

He is a Research Scholar at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. He completed his Bachelors Degree in Health Sciences from Jinnah Sindh Medical University (JSMU), Karachi, Pakistan.

Danish Siddiqui,

He is holding an Administrative Position at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. He completed his Masters Degree in Health Sciences from Dow University of Health Sciences (DUHS), Karachi, Pakistan.

Kazia Ishaq,

She is a Lecturer at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. She completed her Bachelors Degree in Health Sciences from Dow University of Health Sciences (DUHS), Karachi, Pakistan.

Komal Ramzan,

She is a Lecturer at the Indus College of Nursing & Midwifery (ICoNM), Indus University of Health Sciences, Karachi, Pakistan. She completed her Bachelors Degree in Health Sciences from Dow University of Health Sciences (DUHS), Karachi, Pakistan.

References

Almasi, J. F., O'Flahavan, J. F., & Arya, P. (2001). A comparative analysis of student and teacher development in more and less proficient discussions of literature. Reading Research Quarterly, 36(2), 96-120. https://doi.org/10.1598/RRQ.36.2.1

Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2020). Predicted influences of artificial intelligence on the domains of nursing: Scoping review. JMIR Nursing, 3(1), e23939. https://doi.org/10.2196/23939

Chance, E. A. (2025). The combined impact of AI and VR on interdisciplinary learning and patient safety in healthcare education: A narrative review. BMC Medical Education, 25(1), 1039. https://doi.org/10.1186/s12909-025-07589-7

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

Lin, Y., Luo, Z., Ye, Z., Zhong, N., Zhao, L., Zhang, L., ... & Chen, Y. (2025). Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review. JMIR Medical Education, 11(1), e71125. https://doi.org/10.2196/71125

Ma, J., Wen, J., Qiu, Y., Wang, Y., Xiao, Q., Liu, T., ... & Sun, Z. (2025). The role of artificial intelligence in shaping nursing education: A comprehensive systematic review. Nurse Education in Practice, 84, 104345. https://doi.org/10.1016/j.nepr.2025.104345

Nashwan, A. J., Cabrega, J. A., Othman, M. I., Khedr, M. A., Osman, Y. M., El‐Ashry, A. M., ... & Mousa, A. A. (2025). The evolving role of nursing informatics in the era of artificial intelligence. International Nursing Review, 72(1), e13084. https://doi.org/10.1111/inr.13084

Qahtani, K. M. M., Bakkar, R. M. M., Meshni, I. A. M., Alqahtani, J., Siddiq, Y. A. M., Taher, Z. Y., ... & Taher, S. Y. (2024). AI-driven transformations in nursing preparing the workforce for future healthcare challenges: highlights through systematic review. Journal of International Crisis and Risk Communication Research, 7(S11), 1393. https://doi.org/10.63278/jicrcr.vi.1288

Ruksakulpiwat, S., Phianhasin, L., Benjasirisan, C., Su, T., Riangkam, C., Thorngthip, S., ... & Angkaew, N. (2025). Artificial intelligence in nursing research: A systematic review of applications, benefits, and challenges. International Nursing Review, 72(3), e70080. https://doi.org/10.1111/inr.70080

Sharma, M., Savage, C., Nair, M., Larsson, I., Svedberg, P., & Nygren, J. M. (2022). Artificial intelligence applications in health care practice: Scoping review. Journal of Medical Internet Research, 24(10), e40238. https://doi.org/10.2196/40238

Simms, R. C. (2025). Generative artificial intelligence (AI) literacy in nursing education: A crucial call to action. Nurse Education Today, 146, 106544. https://doi.org/10.1016/j.nedt.2024.106544

Yanamala, A. K. Y., & Suryadevara, S. (2023). Advances in data protection and artificial intelligence: Trends and challenges. International Journal of Advanced Engineering Technologies and Innovations, 1(01), 294-319.

Academy of Education and Social Sciences Review

Downloads

Published

2026-02-28

How to Cite

Irfan, K., Khowaja, S., Buriro, J., Siddiqui, D., Ishaq, K., & Ramzan, K. (2026). Undergraduate Nursing Students’ Perspective on Artificial Intelligence Integration in Advanced Nursing Research and Practice. Academy of Education and Social Sciences Review, 6(1), 87–91. https://doi.org/10.48112/aessr.v6i1.1204

Issue

Vol. 6 No. 1 (2026)

Section

Discussion Paper

License

Copyright (c) 2026 Academy of Education and Social Sciences Review

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)