The mediation effect of AI self-efficacy between AI literacy and learning engagement in college nursing students: A cross-sectional study
Abstract
AIM
This study investigates the mediating role of artificial intelligence self-efficacy (AISE) in the association between AI literacy and learning engagemeg nursing students in higher education.
BACKGROUND
The fourth technological revolution driven by AI has profound implications for healthcare education. Insufficient AI literacy and AISE among nursing students may hinder their learning engagement, yet empirical evidence on these relationships remains limited.
DESIGN
A cross-sectional study.
METHOD
A convenience sampling method was used to select 2029 nursing students from 29 colleges in China from November to December 2024. A general information questionnaire, AI literacy scale, AISE scale and learning engagement scale were used to conduct the online questionnaire survey. Data were analyzed using descriptive analysis, Pearson correlation test and Bootstrap method.
RESULTS
Results show that AI literacy was positively correlated with AISE and learning engagement (r = 0.462-0.435, P＜0.01) and AISE was positively correlated with learning engagement (r = 0.537, P＜0.01). The indirect effect of AI literacy on learning engagement through AISE was 0.130, accounting for 20.44 % of the total effect.
CONCLUSION
The AI literacy of nursing students is suboptimal; thus, enhancing foundational AI education is essential. AI literacy directly predicts learning engagement, with AISE serving as a partial mediator. Educators should integrate AI training into curricula, provide practical…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
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