ArticleFrontiers in public health2026
Generative artificial intelligence literacy profiles and workforce readiness among pre-professional nursing students: a latent profile analysis.
Article in Frontiers in public health, 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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Abstract
Background: Generative Artificial Intelligence (GenAI) Literacy hold significant implications for pre-professional nursing students' academic and professional development, potentially influencing their workforce readiness. However, existing studies have overlooked the inter-individual heterogeneity among pre-professional nursing students, and few have explored the correlation between their GenAI Literacy and workforce readiness. Purpose: This study aims to identify the latent profiles and influencing factors of their GenAI literacy, and to compare the differences in workforce readiness across these latent profiles. Methods: A cross-sectional design was employed. From November 2025 to February 2026, 750 pre-professional nursing students from different geographical regions in China were recruited. Participants completed the College Students' GenAI Literacy Scale and the Nursing Practice Readiness Scale. Latent Profile Analysis (LPA) was used to identify the profiles of GenAI Literacy among pre-professional nursing students. Two-category logistic regression was conducted to evaluate the predictors of different profiles. One-way ANOVA and rank-sum test were used to compare the workforce readiness across these profiles. Results: Three latent profiles of GenAI literacy were identified: Low GenAI literacy group ( Conclusion: Pre-professional nursing students' GenAI literacy can be classified into three latent profiles. Enhancing GenAI literacy may improve their overall workforce readiness.
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