Exploring Nursing Students’ Perspectives on Artificial Intelligence in Clinical Learning Environments

Abstract The study aims to explore the Nursing Students’ perception of AI tools in their clinical learning. The study conducted a field survey from 250 students and asked about their exposure to AI tools and their acceptance level. The digital confidence was examined as moderator. The results were analyzed using SPSS Process macro. It was found that students with more frequent interaction with technology tools, such as virtual simulations, reported higher acceptance, and this connection grew stronger for those who felt more at ease with digital systems. The findings suggest that hands-on experience with technology, paired with efforts to build students’ digital skills, can improve their readiness to use these tools in nursing education. These insights offer practical guidance for educators aiming to integrate technology effectively while supporting student needs. Keywords: Clinical Learning, Digital Confidence, Nursing Education, AI Acceptance, AI Exposure, TAM