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February 21, 2026BMC Nursing4 citationsOpen Access

Artificial intelligence literacy and academic resilience in undergraduate nursing students: the mediating role of self-efficacy and artificial intelligence anxiety

YCYiping ChenZLZiwei LvXLXiang Li

Key Points

  • This research aims to explore the relationships between AI literacy, self-efficacy, AI anxiety, and academic resilience among nursing students.
  • Conducted a cross-sectional study among 415 undergraduate nursing students
  • Assessed AI literacy, academic resilience, self-efficacy, and AI anxiety using validated scales
  • Performed statistical analyses including Pearson correlation and mediation testing using PROCESS macro in SPSS
  • Found a positive correlation between academic resilience and AI literacy (r = 0.229, p < 0.01)
  • Established that self-efficacy positively correlates with academic resilience (β = 0.340, p < 0.001)
  • Identified that AI anxiety negatively correlates with academic resilience (β = -0.426, p < 0.001)
  • Confirmed partial mediation of self-efficacy and AI anxiety in the relationship between AI literacy and academic resilience

Abstract

Artificial intelligence is increasingly integrated into nursing education, making AI literacy a key competency for students. Academic resilience is also essential for coping with learning challenges. However, the mechanisms linking AI literacy to academic resilience remain unclear, particularly the roles of self-efficacy and AI anxiety. This study examines these associations and tests the mediating effects of self-efficacy and AI anxiety. A cross-sectional study was conducted among 415 undergraduate nursing students from a university in northern China. AI literacy, academic resilience, self-efficacy and AI anxiety were assessed using validated scales. Statistical analyses included descriptive analysis, Pearson correlation and serial mediation testing using the PROCESS macro in SPSS with bootstrap sampling. (1) Academic resilience was significantly and positively correlated with AI literacy (r = 0.229, p < 0.01) and self-efficacy (r = 0.340, p < 0.01), and negatively correlated with AI anxiety (r = -0.426, p < 0.01). AI literacy was positively correlated with self-efficacy (r = 0.118, p < 0.05) and negatively correlated with AI anxiety (r = -0.143, p < 0.01). (2) AI literacy was positively associated with self-efficacy (β = 0.118, p = 0.017) and was negatively associated with AI anxiety (β = -0.143, p = 0.006). Self-efficacy positively was positively associated with academic resilience (β = 0.340, p < 0.001), while AI anxiety was negatively associated with academic resilience (β = -0.426, p < 0.001). (3) In the model of AI literacy → self-efficacy → AI anxiety → academic resilience, the total indirect effect was 0.055. The mediating effect of self-efficacy accounted for 36.4% of the total indirect effect (0.020), while AI anxiety accounted for 58.2% (0.032). The serial mediation effect of self-efficacy and AI anxiety contributed 5.4% (0.003) to the total indirect effect, which was statistically significant but small in magnitude. Overall, the mediation pattern supported partial (rather than full) mediation. AI literacy is is an important correlate of nursing students’ academic resilience. Strengthening AI literacy, improving self-efficacy and reducing AI anxiety may be linked to better adaptation to AI-supported learning environments. Not applicable.

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Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69994c5d873532290d020bf3https://doi.org/10.1186/s12912-026-04420-6
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