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The experience of nursing students using generative artificial intelligence: a qualitative meta-synthesis
Sihua Wang1, Shuzhen Niu2, Xinyu Zhang1
1Nursing Department, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
BMC Nursing
|April 20, 2026
Summary
Nursing students have complex experiences with Generative Artificial Intelligence (GAI). This review synthesizes qualitative research to guide the safe and effective integration of GAI in nursing education.
Area of Science:
- Nursing Education
- Health Informatics
- Artificial Intelligence in Healthcare
Background:
- Generative Artificial Intelligence (GAI) is increasingly utilized by nursing students.
- Understanding student experiences is crucial for effective integration.
- Existing qualitative research offers insights into these experiences.
Purpose of the Study:
- To systematically integrate qualitative research on nursing students' experiences with Generative Artificial Intelligence (GAI).
- To establish an evidence-based foundation for the safe, appropriate, and effective use of GAI in nursing education.
- To inform stakeholders on optimizing GAI utilization by nursing students.
Main Methods:
- Qualitative systematic review methodology.
- Comprehensive literature search across major databases (PubMed, Web of Science, CINAHL, Embase, etc.) from 2015 to 2026.
- Methodological quality appraisal using JBI criteria and meta-synthesis with ConQual for confidence assessment.
Main Results:
- Inclusion of 24 qualitative studies.
- Synthesis of 41 findings into 11 sub-themes and 4 overarching themes: perceived benefits, shortcomings, risks, and needs.
- Identification of complex and sometimes contradictory student experiences with GAI.
Conclusions:
- Nursing students' engagement with GAI presents multifaceted challenges and opportunities.
- Educational institutions, educators, and developers must strengthen support frameworks (technical, educational, policy).
- Enhanced support is essential for ensuring GAI's appropriate, safe, and effective application in nursing education.
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