ArticleNurse educator
Using Large Language Models to Analyze Factors Influencing Academic Supervision Relationships in Qualitative Interviews With Postgraduate Nursing Students.
Article in Nurse educator. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Satisfaction with academic supervision among nursing postgraduate students in China: a national multicenter cross-sectional study.BMC medical education · 2026Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundNursing postgraduate supervisors serve as educators, mentors, and research facilitators, ensuring the holistic development of postgraduate students to meet the evolving demands of nursing care. PURPOSE: This study explored factors influencing academic supervision relationships (playing a critical role in the academic and professional development of students). It innovatively applied 2 large language models (LLMs) to analyze qualitative interviews with postgraduate nursing students.
methodsData were collected through semi-structured interviews with 14 nursing graduate students, and 2 LLMs widely used in China were used for interview transcript analysis.
resultsThe themes extracted by 2 LLM models were highly consistent and can be grouped into 4 main categories: (1) academic supervisor-related factors: supervisory style, personal traits, leadership style, and research capabilities/resources; (2) student-related factors: independence, initiative, and career expectations; (3) academic supervisor-student interaction: communication frequency and quality and shared goals; and (4) environmental factors: academic environment and team culture.
conclusionActive communication, clear role expectations, and cooperation optimize supervisory relationships, enhancing nursing training and research.
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