Investigating Research Skills and Artificial Intelligence Attitudes Among Residents in Surgical Medicine Departments


Akpınar G., Kantarcı S.

International Journal of Technology in Education and Science, cilt.10, sa.2, ss.398-416, 2026 (Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 2
  • Basım Tarihi: 2026
  • Doi Numarası: 10.46328/ijtes.7805
  • Dergi Adı: International Journal of Technology in Education and Science
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.398-416
  • Anahtar Kelimeler: Attitudes towards artificial intelligence, Medical education, Scientific research skills, Specialist training, Surgical specialties
  • Sağlık Bilimleri Üniversitesi Adresli: Evet

Özet

This research aims to examine the relationship between scientific research skills and attitudes towards artificial intelligence among residents in surgical medicine departments, considering gender and seniority. A quantitative research approach with a comparative correlational survey model was adopted; data was collected via online questionnaires from 127 surgical residents in training and research hospitals and university public hospitals in Ankara, Konya, and İzmir provinces. The findings revealed that participants' scientific research skills were at a moderate level, while their attitudes towards artificial intelligence were at a high level. Male participants showed significantly higher scientific research skills compared to their female peers, while no gender-based difference was found in attitudes towards artificial intelligence. As seniority increased, scientific research skills also increased significantly; however, attitudes towards artificial intelligence did not change with seniority. Regression analysis showed that attitudes towards artificial intelligence did not significantly predict scientific research skills. Based on these results, it is recommended to strengthen research methodology training in the early stages of specialist training, to investigate the causes of gender inequality using qualitative methods, to integrate artificial intelligence tools into the curriculum, and to expand the study to include a wider sample and different disciplines.