Akademik Veri Yönetim Sistemi
Journal of Evaluation in Clinical Practice, cilt.30, sa.7, ss.1319-1326, 2024 (SCI-Expanded)
Rationale: Evaluating future nurses' perspectives on artificial intelligence, determining their missing or incorrect information on the subject and determining their anxiety levels are of great importance in terms of providing science and technology-based health services in the future. Aims: This research was conducted to evaluate the knowledge, attitude and anxiety levels of future nurses about artificial intelligence applications. Method: The research was a descriptive type, conducted with 552 nursing students. In collecting data, ‘Data collection form’ and ‘Artificial Intelligence Anxiety Scale’ (AIAS) were used. Analysis of data was performed with descriptive statistics, Kolmogorov–Smirnov, Shapiro–Wilk, Spearman, Mann–Whitney U and Kruskal–Wallis tests. In the study, p < 0.05 value was considered statistically significant. Results: It was determined that the students' average AIAS score was 51.68 ± 12.32. It was determined that 95.3% of the students did not receive training on artificial intelligence, and 94.0% did not have artificial intelligence-related subjects in their school courses. It was determined that 79.2% of the students wanted artificial intelligence-related subjects to be included in school courses. Conclusion: In the study, it was determined that the artificial intelligence anxiety levels of nursing students were high. It has been determined that students with negative feelings about artificial intelligence have higher artificial intelligence anxiety levels. Our suggestion; adding courses or subjects related to artificial intelligence to the university curriculum and starting to include nurses in the working processes during their student years.