The mediation effect of AI self-efficacy between AI literacy and learning engagement in college nursing students: A cross-sectional study

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Detalles Bibliográficos
Publicado en:	Nurse Education in Practice vol. 87 (Aug 2025), p. 104499-104505
Autor principal:	He, Taotao
Otros Autores:	Huang, Jing, Li, Yongheng, Wang, Lijuan, Liu, Jia, Zhang, Fan, Fu, Shaoli, Gong, Sha
Publicado:	Elsevier Limited
Materias:	China Problem solving Literacy Students Careers Higher education Questionnaires Likert scale Medical education Artificial intelligence Learning College students Health care Decision making Self-efficacy Critical thinking Curricula Independent study Digital literacy Career development planning Nursing education Discriminant analysis Cross-sectional studies Nursing Ethics Colleges & universities Clinical nursing Bootstrap method Interdisciplinary aspects Scientific technological revolution Nurses Teachers Health services Mediation Sampling Artificial intelligence literacy Learning Activities Literature Reviews Factor Analysis Learning Motivation Likert Scales Academic Achievement Employment Potential Student Motivation Learner Engagement Educational Strategies Informed Consent Intelligent Tutoring Systems Influence of Technology Educational Technology Educational Change Career Development Correlation Data Analysis Educational Background
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Descripción
Resumen:	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 scenarios and foster interdisciplinary collaboration to improve AI competency and engagement.
ISSN:	1471-5953 1873-5223
DOI:	10.1016/j.nepr.2025.104499
Fuente:	Sociology Database