Research Article

Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students

Volume: 17 Number: April, May, June 2026 June 18, 2026

Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students

Abstract

Purpose: This study was conducted to examine the relationships between attitudes toward artificial intelligence, decision-making styles, and leadership self-perception among midwifery students. Methods: This cross-sectional and correlational study was carried out with 250 students enrolled in the Midwifery Department of Giresun University during the 2025–2026 fall semester. Data were collected using the Student Information Form, the General Attitudes toward Artificial Intelligence Scale (GATAIS), the Melbourne Decision-Making Styles Scale (MD-MSS), and the Self-Perceived Leadership Behaviors of Undergraduates Scale (S-PLBUS). Descriptive statistics, t-test, MWU, ANOVA, correlation, and hierarchical regression analyses were used. Results: The mean age of the students was 20.90±3.03 years. The mean scale scores of the participants were 65.43±6.70 for GATAIS, 5.05±1.30 for MD-MSS-I, 27.92±7.34 for MD-MSS-II, 32.97±7.58 for the total MD-MSS, and 75.78±11.16 or S-PLBUS. Significant differences were found in attitudes toward artificial intelligence, decision-making styles, and leadership self-perception scores according to marital status and class level (p<.001). Low-level positive correlations were identified between attitudes toward artificial intelligence and both decision-making styles and leadership self-perception. Hierarchical regression analysis indicated that attitudes toward artificial intelligence significantly but weakly predicted leadership self-perception (R²=3.5%, p<.01), whereas decision-making styles did not make a significant contribution to the model. Conclusion: A positive attitude toward artificial intelligence appears to have a limited yet significant effect on leadership self-perception. Accordingly, integrating practices that support artificial intelligence literacy, decision-making, and leadership skills into midwifery education programs is recommended.

Keywords

Ethical Statement

Prior to the study, ethical approval was obtained from the Ethics Committee of Giresun University Social Sciences, Science and Engineering Research (dated 01.10.2025, decision no: 09/467). Institutional permission was also obtained from the Faculty of Health Sciences, Department of Midwifery (E-58380337-044-142759). Students were informed about the purpose of the study, and those who provided informed consent were included in the research.

Thanks

We would like to thank the midwifery students who agreed to participate in this study.

References

  1. 1. Alhejaily AG. Artificial intelligence in healthcare (Review). Biomedical Reports. 2025;22:11. doi:10.3892/br.2024.1889
  2. 2. Singh K, Prabhu A, Kaur N. The impact and role of artificial intelligence (AI) in healthcare: Systematic review. Current Topics in Medicinal Chemistry. 2025;25(22):2635–2654. doi:10.2174/0115680 266339394250225112747
  3. 3. Özbaş S, Özkahraman Koç Ş, Gerey S. Evaluation of Midwifery Students’ General Attitudes Towards Artificial Intelligence. Suleyman Demirel University Journal of Health Sciences. 2025;16(2):187–195. doi:10.22312/sdusbed.1616904
  4. 4. O’Connor S, Yan Y, Thilo FJS, Felzmann H, Dowding D, Lee JJ. Artificial intelligence in nursing and midwifery: A systematic review. Journal of Clinical Nursing. 2023;32:2951–2968. doi:10.1111/jocn.16478
  5. 5. Sengul T, Sarikose S, Uncu B, Kaya N. The effect of artificial intelligence literacy on self-directed learning skills: The mediating role of attitude towards artificial intelligence: A study on nursing and midwifery students. Nurse Education in Practice. 2025;88:104516. doi:10.1016/j.nepr.2025.104516
  6. 6. Sourinejad H, Adib Moghaddam E, Raeisi Dehkordi SAR, Raisi Dehkordi Z. The cognitive error styles of midwifery students in clinical decision-making: A directed qualitative content analysis study. Journal of Advanced Medical Education and Professionalism. 2025;13(4):334–343. doi:10.30476/jamp.2025.107111.2191
  7. 7. Hüseyniklioğlu B, Tüysüz F. Investigation of the relationship between nursing and midwifery students’ leadership perceptions and decision-making styles. Sağlık ve Hemşirelik Yönetimi Dergisi. 2023;10(1):38–48. doi:10.54304/SHYD.2023.39206
  8. 8. Abdul-Rahim HZ, Sharbini SH, Ali M, Abdul-Mumin KH. Building strong foundations in leadership and management for midwifery students. British Journal of Midwifery. 2024;32(1):38–44.

Details

Primary Language

English

Subjects

Nursing (Other)

Journal Section

Research Article

Publication Date

June 18, 2026

Submission Date

April 19, 2026

Acceptance Date

May 31, 2026

Published in Issue

Year 2026 Volume: 17 Number: April, May, June 2026

APA
Işık, C., & Benli, T. E. (2026). Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, 17(April, May, June 2026). https://doi.org/10.31067/acusaglik.1933796
AMA
1.Işık C, Benli TE. Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students. Acibadem Univ Saglik Bilim Derg. 2026;17(April, May, June 2026). doi:10.31067/acusaglik.1933796
Chicago
Işık, Cansu, and Tuba Enise Benli. 2026. “Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17 (April, May, June 2026). https://doi.org/10.31067/acusaglik.1933796.
EndNote
Işık C, Benli TE (June 1, 2026) Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17 April, May, June 2026
IEEE
[1]C. Işık and T. E. Benli, “Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students”, Acibadem Univ Saglik Bilim Derg, vol. 17, no. April, May, June 2026, June 2026, doi: 10.31067/acusaglik.1933796.
ISNAD
Işık, Cansu - Benli, Tuba Enise. “Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 17/April, May, June 2026 (June 1, 2026). https://doi.org/10.31067/acusaglik.1933796.
JAMA
1.Işık C, Benli TE. Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students. Acibadem Univ Saglik Bilim Derg. 2026;17. doi:10.31067/acusaglik.1933796.
MLA
Işık, Cansu, and Tuba Enise Benli. “Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students”. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi, vol. 17, no. April, May, June 2026, June 2026, doi:10.31067/acusaglik.1933796.
Vancouver
1.Cansu Işık, Tuba Enise Benli. Investigation of Artificial Intelligence Attitudes, Decision-Making Styles, and Leadership Self-Perception Among Midwifery Students. Acibadem Univ Saglik Bilim Derg. 2026 Jun. 1;17(April, May, June 2026). doi:10.31067/acusaglik.1933796