Abstract
Background
Integrating artificial intelligence (AI) technologies into nursing practice is expanding rapidly, yet validated instruments to assess nursing students' perceptions of AI remain scarce in non-English-speaking contexts. The Shinners Artificial Intelligence Perception (SAIP) Scale was developed to measure healthcare professionals' perceptions of AI; however, its applicability in Turkish culture has not been tested.Methods
This methodological study was conducted between February and July 2025 and involved 412 nursing students from three public nursing faculties in Ankara, Türkiye. The cross-cultural adaptation process followed forward-backward translation, expert review, and content validity assessment using the Davis technique. Construct validity was examined through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was assessed using item-total correlations, Cronbach's alpha, and test-retest analysis with a subgroup of 32 participants.Results
Content validity index (CVI) was 0.88. The KMO sample adequacy was 0.802, and Bartlett's test yielded χ2(36) = 651.198 (p Conclusions
In this study, psychometric evaluation yielded an 8-item Turkish version of the SAIP (SAIP-TR); thus, the adapted instrument should be considered a shortened form of the original scale. The SAIP-TR may provide a useful framework for assessing AI-related perceptions among nursing students and may support educators and researchers in understanding students' readiness for AI integration into nursing practice and in informing future educational strategies. However, further validation studies in more diverse populations are recommended to strengthen the scale's generalizability and conceptual stability.Clinical trial number
Not applicable.