Araştırma Makalesi

How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students' AI Competence – A Path Analysis

Cilt: 17 Sayı: 2 31 Mayıs 2026
PDF İndir
EN TR

How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students' AI Competence – A Path Analysis

Öz

This study conducted a path analysis to examine the impact of several related variables on artificial intelligence (AI) user competence. The participants included 310 nursing students from a single nursing school in Turkey. Hypothetical paths were established to assess the influence of medical artificial intelligence readiness, AI-related anxiety, and both positive and negative attitudes toward AI on AI competence. Positive attitudes toward AI and medical AI readiness had significant effects on AI competence. Additionally, both positive and negative attitudes toward AI had a significant negative effect on AI-related anxiety; however, the total, direct, and indirect effects of anxiety on AI competence were not significant. The model explained 33.5% of the variance in AI user competence. AI-focused interventions, along with the creation of a supportive learning environment for nursing students during their practicum, may be key strategies to enhance their AI competence.

Anahtar Kelimeler

Etik Beyan

Bu çalışma için etik kurul onayı, Bartın Üniversitesi Sosyal ve Beşeri Bilimler Etik Kurulu'ndan alınmıştır. Çalışma, kurulun 11.12.2023 tarihli, 20 sayılı toplantısında alınan 1 sayılı karar ile 2023-SBB-0811 protokol numarası kapsamında onaylanmıştır. Araştırmaya katılım gönüllülük esasına dayalı olup, tüm katılımcılardan bilgilendirilmiş onam alınmıştır. Katılımcıların gizliliği ve anonimliği araştırma süresince korunmuştur.

Kaynakça

  1. Abou Hashish, E. A., & Alnajjar, H. (2024). Digital proficiency: Assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students. BMC Medical Education, 24(1), 508. https://doi.org/10.1186/s12909-024-05482-3
  2. Albino, M. G., Albino, F. S., Asio, J. M. R., & Gadia, E. D. (2025). Influence of AI anxiety on AI self-efficacy among college students. International Journal of Technology in Education, 8(2), 557–573. https://doi.org/10.46328/ijte.1109
  3. Almatrafi, O., Johri, A., & Lee, H. (2024). A systematic review of AI literacy conceptualization, constructs, and implementation and assessment efforts (2019–2023). Computers and Education Open, 100173. https://doi.org/10.1016/j.caeo.2024.100173
  4. AlZaabi, A., & Masters, K. (2025). Assessing medical students' readiness for artificial intelligence after pre-clinical training. BMC Medical Education, 25(1), 824. https://doi.org/10.1186/s12909-025-07008-x
  5. Amin, S. M., El-Fattah Mahgoub, S. A., Tawfik, A. F., Khalil, D. E., El-Sayed, A. A. I., Atta, M. H. R., Albzia, A., & Morsy Mohamed, S. R. (2025). Nursing education in the digital era: The role of digital competence in enhancing academic motivation and lifelong learning among nursing students. BMC Nursing, 24(1), 571. https://doi.org/10.1186/s12912-025-03199-2
  6. Asio, J. M. R., & Suero, A. N. (2024). Artificial intelligence anxiety, self-efficacy, and self-competence among students: Implications to higher education institutions. Education Policy and Development, 2(2), 82–93. https://doi.org/10.31098/epd.v2i2.2541
  7. Chen, C., Hu, W., & Wei, X. (2025). From anxiety to action: Exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students. Interactive Learning Environments, 33(4), 3162–3177. https://doi.org/10.1080/10494820.2024.2440877
  8. Chen, S. (2024). Nursing education in the era of generative artificial intelligence: Are we ready? Hu Li Za Zhi, 71(5), 4–6. https://doi.org/10.6224/JN.202410_71(5).01

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Mayıs 2026

Gönderilme Tarihi

6 Ağustos 2025

Kabul Tarihi

3 Nisan 2026

Yayımlandığı Sayı

Yıl 2026 Cilt: 17 Sayı: 2

Kaynak Göster

APA
Büyüktopaç Çakıcı, H., & Dolu, İ. (2026). How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis. AJIT-e: Academic Journal of Information Technology, 17(2), 164-180. https://izlik.org/JA95RK83SS
AMA
1.Büyüktopaç Çakıcı H, Dolu İ. How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis. AJIT-e. 2026;17(2):164-180. https://izlik.org/JA95RK83SS
Chicago
Büyüktopaç Çakıcı, Hilal, ve İlknur Dolu. 2026. “How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis”. AJIT-e: Academic Journal of Information Technology 17 (2): 164-80. https://izlik.org/JA95RK83SS.
EndNote
Büyüktopaç Çakıcı H, Dolu İ (01 Mayıs 2026) How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis. AJIT-e: Academic Journal of Information Technology 17 2 164–180.
IEEE
[1]H. Büyüktopaç Çakıcı ve İ. Dolu, “How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis”, AJIT-e, c. 17, sy 2, ss. 164–180, May. 2026, [çevrimiçi]. Erişim adresi: https://izlik.org/JA95RK83SS
ISNAD
Büyüktopaç Çakıcı, Hilal - Dolu, İlknur. “How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis”. AJIT-e: Academic Journal of Information Technology 17/2 (01 Mayıs 2026): 164-180. https://izlik.org/JA95RK83SS.
JAMA
1.Büyüktopaç Çakıcı H, Dolu İ. How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis. AJIT-e. 2026;17:164–180.
MLA
Büyüktopaç Çakıcı, Hilal, ve İlknur Dolu. “How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis”. AJIT-e: Academic Journal of Information Technology, c. 17, sy 2, Mayıs 2026, ss. 164-80, https://izlik.org/JA95RK83SS.
Vancouver
1.Hilal Büyüktopaç Çakıcı, İlknur Dolu. How Medical AI Readiness, Anxiety, and Attitudes Shape Nursing Students’ AI Competence – A Path Analysis. AJIT-e [Internet]. 01 Mayıs 2026;17(2):164-80. Erişim adresi: https://izlik.org/JA95RK83SS