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Nursing students' experiences with using generative artificial intelligence: a descriptive qualitative study
Wenghao Wan1, Xin Yu1, Qianwen Guo2
1School of Nursing, Chongqing Medical University, Chongqing, China.
Background:
The rapid development of generative artificial intelligence (GenAI) has brought new opportunities to nursing education, while raising numerous concerns. Existing research has primarily focused on nursing students' acceptance, attitudes, and willingness to use GenAI, whereas studies exploring their experiences and perceptions remain relatively limited.
Objective:
This study aimed to explore nursing students' experiences with and perceptions of GenAI.
Methods:
A descriptive qualitative study was employed. Semi-structured interviews were conducted with full-time nursing students at Chongqing Medical University from March to April 2025 using purposive sampling, and the data were analyzed using conventional content analysis.
Results:
A total of 25 nursing students were interviewed, from which 3 themes and 10 subthemes were extracted: 1) perceptions and experiences of using GenAI (improving learning efficiency, concerns about information accuracy, concerns about overreliance on GenAI, and concerns about future career development); 2) factors influencing the experience of using GenAI (individual factors, information factors, and social environmental factors); and 3) expectations for integrating GenAI into nursing education (optimizing tool design, offering related courses, and promoting innovation in teaching methods).
Conclusion:
Nursing students in this study generally held positive but cautious attitudes toward GenAI. Although GenAI has gradually become an important support tool for learning and research among some nursing students, concerns regarding information accuracy, overreliance, and ethical and privacy risks warrant continued attention. Nursing educators should strengthen AI literacy education and guide students in using GenAI critically and responsibly. Meanwhile, efforts should be made to develop GenAI tools tailored to the needs of nursing education, strengthen education on ethical and privacy protection, and actively explore effective ways to integrate GenAI into nursing education.
