Evidence map›Paper›PMID 42876528›Full record

ArticleFrontiers in medicine2026

Nursing students' experiences with using generative artificial intelligence: a descriptive qualitative study.

Wenghao Wan, Xin Yu, Qianwen Guo, Zhengting Zhang, Miao Huang, Guohui Liu, Hengyu Zhou

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wenghao Wan *School of Nursing, Chongqing Medical University, Chongqing, China.
Xin Yu *School of Nursing, Chongqing Medical University, Chongqing, China.
Qianwen GuoDepartment of Obstetrics, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhengting ZhangSchool of Nursing, Chongqing Medical University, Chongqing, China.
Miao HuangSchool of Nursing, Chongqing Medical University, Chongqing, China.
Guohui LiuPeople's Hospital Banan District, Chongqing, China.
Hengyu ZhouSchool of Nursing, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

generative artificial intelligencenursing educationnursing studentsqualitative studystudent experiences

Identifiers

PMID42876528
PMCPMC13661420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.