Perception, attitudes toward artificial intelligence and related factors of nursing students at Da Nang University of Medical Technology and Pharmacy

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Do, T. H. T., Luu, T. T., & Vu, V. Đẩu. (2025). Perception, attitudes toward artificial intelligence and related factors of nursing students at Da Nang University of Medical Technology and Pharmacy. Journal of Nursing Science, 8(04), 49–63. https://doi.org/10.54436/jns.2025.04.1001

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Abstract

Objective: To describe students’ perception and attitudes toward artificial intelligence in nursing practice and identify some factors related to perceptions and attitudes of nursing students at Danang University of Medical Technology and Pharmacy.

Methods: A descriptive cross-sectional study was conducted on 288 nursing students at Da Nang University of Medical Technology and Pharmacy from March 2025 to April 2025 using a self-administered questionnaire. Descriptive statistics, Wilcoxon-Mann-Whitney test, Kruskal-Wallis test, and Spearman correlation were used to analyze data with p < 0.05.

Results: 50.3% of students were classified as having a high perception with a mean score of 3.58 ± 0.49 and 79.2% of students had neutral attitudes toward artificial intelligence with a mean score of 3.30 ± 0.43. There were differences in perception and attitudes toward artificial intelligence between male and female students. Attitudes towards artificial intelligence also differed between students with different information technology skills. In addition, there was a positive correlation between students’ perception and attitudes toward artificial intelligence.

Conclusion: Most students have high perception and neutral attitudes toward artificial intelligence.

https://doi.org/10.54436/jns.2025.04.1001

Keywords

Trí tuệ nhân tạo (AI), Nhận thức, Thái độ, Sinh viên điều dưỡng Artificial Intelligence (AI), Perception, Attitude, Nursing students
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References

Fei Jiang Y.J., Hui Z., Yi D., Hao L., Sufeng M., Yilong W., et al. Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2017;2 (4)doi:doi:10.1136/svn-2017-000101.

Hote P.K., Venkatesan L., Garg R., Gopichandran L. Artificial intelligence for smart patient care: transforming future of nursing practice. International Journal of Research in Medical Sciences. 2023;11(10):3931-3936. doi:10.18203/2320-6012.ijrms20233066.

Martinez-Ortigosa A., Martinez-Granados A, Gil-Hernández E, Rodriguez-Arrastia M., Ropero-Padilla C., Romanet P., et al. Applications of Artificial Intelligence in Nursing Care: A Systematic Review. Journal of Nursing Management. 2023;2023:1-12. doi:10.1155/2023/3219127.

Pau F.Colaizzi. Psychological Research as the Phenomenologist views it. In Ronald S. Valle & Mark King. Existential-phenomenological alternative for psy- chology. New York: Oxford University Press. 1978:48-71.

Leodoro J. Labrague RA-R, Begonia C. Yboa, Jeanette B. Sabio, Janet. Factors influencing student nurses’ readiness to adopt artificial intelligence (AI) in their studies and their perceived barriers to accessing AI technology: A cross-sectional study. Nurse Educ Today. Nov 2023;130:105945. doi:10.1016/j.nedt.2023.105945.

Leodoro J. Labrague RA-R, Begonia C. Yboa, Jeanette B. Sabio, Janet A. de los Santos. Student nurses’ attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study. Nurse Education in practice. 2023;73doi:doi.org/10.1016/j.nepr.2023.103815.

Ahmed Alsenany S. , Obay A. A., Suzan El-Said Mansour. Nursing students’ perception and attitudes toward utilization of artificial intelligence in health care. Edelweiss Applied Science and Technology. 2024;8:663-670. doi:10.55214/25768484.v8i6.2138.

Derakhshanian S., Wood L., Arruzza E. Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review. Health Sci Rep. Aug 2024;7(8):e2289. doi:10.1002/hsr2.2289.

Farghaly Abdelaliem S.M., Dator W.L.T, Sankarapandian C. The Relationship between Nursing Students’ Smart Devices Addiction and Their Perception of Artificial Intelligence. Healthcare (Basel). Dec 30 2022;11(1)doi:10.3390/healthcare11010110.

Kyong A.C. Yon H.S. Dual mediating effects of anxiety to use and acceptance attitude of artificial intelligence technology on the relationship between nursing students’ perception of and intention to use them: a descriptive study. BMC Nurs. Mar 28 2024;23(1):212. doi:10.1186/s12912-024-01887-z.

Abou Hashish E.A., Alnajjar H. Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students. BMC Med Educ. May 7 2024;24(1):508. doi:10.1186/s12909-024-05482-3.

Sheela J. Attitude of Nursing Students towards Artificial Intelligence. International Journal of Science and Healthcare Research. 2022;7(2):334-347. doi:10.52403/ijshr.20220447.

Nguyen M.T, Vo Q.T, Tran H.T.B, Nguyen T.H., Pham V.N.H. Healthcare students’ knowledge, attitudes, and perspectives toward artificial intelligence in the southern Vietnam. Heliyon. 2023;9:1-11. doi:doi.org/10.1016/j.heliyon.2023.e22653.

Sabra H., Abd Elaal H., Sobhy K., Bakr M. Utilization of Artificial Intelligence in Health Care: Nurses-Perspectives and Attitudes. Menoufia Nursing Journal. 2023;8(1):243-257. doi:10.21608/menj.2023.297411.

Syed W., Basil AA-RM. Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia. Medicina (Kaunas). Apr 24 2023;59(5). doi:10.3390/medicina59050828.

Yeunhee Kwak J-WA, Yon H.S. Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC Nursing. 2022. Doi.org/10.1186/s12912-022-01048-0.

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