The effect of ethical sensitivity on artificial intelligence anxiety in nursing students: A structural equation modeling


AYDINLI A., Uslusoy E. Ç., UZDİL N.

Teaching and Learning in Nursing, cilt.21, sa.2, 2026 (ESCI, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 21 Sayı: 2
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.teln.2025.11.026
  • Dergi Adı: Teaching and Learning in Nursing
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, CINAHL
  • Anahtar Kelimeler: Artificial intelligence, Ethical sensitivity, Nursing student, Structural equation modeling
  • Erciyes Üniversitesi Adresli: Evet

Özet

AbstractBackgroundEthical sensitivity and artificial intelligence (AI) anxiety have become increasingly important issues in nursing education.AimThis descriptive and correlational study was conducted to determine the relationship between ethical sensitivity and AI anxiety levels of nursing students.MethodThe study was conducted with 457 nursing students. The data was collected using descriptive information form, the Ethical Sensitivity Questionnaire for Nursing Students (ESQ-NS), and the Artificial Intelligence Anxiety Scale (AIAS). Ethical approvals and informed consent were obtained.ResultsThe mean ESQ-NS score (23.96 ± 8.79) denotes a moderate degree of ethical sensitivity among nursing students, whereas the mean AIAS score (51.88 ± 10.89) signifies a moderate level of anxiety associated with artificial intelligence. A statistically significant positive correlation existed between the mean AIAS and ESQ-NS scores (p < 0.05). Moreover, ESQ-NS explained 8.9% of the students' AIAS scores.ConclusionThe study determined that students' ethical sensitivity and AI anxiety levels were moderate. A positive relationship was determined between ethical sensitivity and AI anxiety levels.