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A Meta-synthesis of nursing students' experiences with generative artificial intelligence-assisted learning
Shanshan Du1, Sha Wang2, Fengxia Yan1
1School of Nursing, Jinan University, Guangzhou, Guangdong, China.
Frontiers in Medicine
|July 31, 2026
Summary
Nursing students report mixed experiences with generative artificial intelligence (AI) in their education, facing both empowerment and challenges. Recommendations include enhancing AI literacy and integrating AI tools ethically into curricula.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Qualitative Research Synthesis
Background:
- Generative artificial intelligence (AI) is increasingly integrated into educational settings.
- Understanding nursing students' real-world experiences with generative AI-assisted learning is crucial for effective pedagogical strategies.
- Existing literature lacks a comprehensive synthesis of qualitative findings on this topic.
Purpose of the Study:
- To systematically evaluate the lived experiences of nursing students using generative AI for learning.
- To identify key themes and challenges associated with generative AI adoption in nursing education.
Main Methods:
- A systematic search of multiple databases (CNKI, VIP, Scopus, Wanfang, CBM, Web of Science, PubMed, Cochrane, Embase, CINAHL) was performed.
- Qualitative studies published up to March 2026 were included.
- Thematic synthesis was employed to analyze and integrate findings from 18 selected studies.
Main Results:
- Four integrated findings emerged from 49 identified themes across 13 categories.
- Students experienced a duality of empowerment and challenges.
- Internal conflicts arose between technology adoption and core nursing humanism.
- User experiences varied due to practical constraints, highlighting a need for support systems and educational reform.
Conclusions:
- Generative AI presents both opportunities and challenges for nursing students' learning experiences.
- There is a critical need to enhance nursing students' AI literacy, critical thinking, and ethical awareness.
- Curricula must integrate AI competencies while preserving humanistic care principles, supported by clear governance and educational guidelines.
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