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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| Publicat a: | Nurse Education in Practice vol. 87 (Aug 2025), p. 104499-104505 |
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| Autor principal: | |
| Altres autors: | , , , , , , |
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Elsevier Limited
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3244815099 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1471-5953 | ||
| 022 | |a 1873-5223 | ||
| 024 | 7 | |a 10.1016/j.nepr.2025.104499 |2 doi | |
| 035 | |a 3244815099 | ||
| 045 | 2 | |b d20250801 |b d20250831 | |
| 084 | |a 170342 |2 nlm | ||
| 100 | 1 | |a He, Taotao |u Department of Nursing, The Fourth Hospital of Changsha, Changsha, Hunan 410006, China | |
| 245 | 1 | |a The mediation effect of AI self-efficacy between AI literacy and learning engagement in college nursing students: A cross-sectional study | |
| 260 | |b Elsevier Limited |c Aug 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 651 | 4 | |a China | |
| 653 | |a Problem solving | ||
| 653 | |a Literacy | ||
| 653 | |a Students | ||
| 653 | |a Careers | ||
| 653 | |a Higher education | ||
| 653 | |a Questionnaires | ||
| 653 | |a Likert scale | ||
| 653 | |a Medical education | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Learning | ||
| 653 | |a College students | ||
| 653 | |a Health care | ||
| 653 | |a Decision making | ||
| 653 | |a Self-efficacy | ||
| 653 | |a Critical thinking | ||
| 653 | |a Curricula | ||
| 653 | |a Independent study | ||
| 653 | |a Digital literacy | ||
| 653 | |a Career development planning | ||
| 653 | |a Nursing education | ||
| 653 | |a Discriminant analysis | ||
| 653 | |a Cross-sectional studies | ||
| 653 | |a Nursing | ||
| 653 | |a Ethics | ||
| 653 | |a Colleges & universities | ||
| 653 | |a Clinical nursing | ||
| 653 | |a Bootstrap method | ||
| 653 | |a Interdisciplinary aspects | ||
| 653 | |a Scientific technological revolution | ||
| 653 | |a Nurses | ||
| 653 | |a Teachers | ||
| 653 | |a Health services | ||
| 653 | |a Mediation | ||
| 653 | |a Sampling | ||
| 653 | |a Artificial intelligence literacy | ||
| 653 | |a Learning Activities | ||
| 653 | |a Literature Reviews | ||
| 653 | |a Factor Analysis | ||
| 653 | |a Learning Motivation | ||
| 653 | |a Likert Scales | ||
| 653 | |a Academic Achievement | ||
| 653 | |a Employment Potential | ||
| 653 | |a Student Motivation | ||
| 653 | |a Learner Engagement | ||
| 653 | |a Educational Strategies | ||
| 653 | |a Informed Consent | ||
| 653 | |a Intelligent Tutoring Systems | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Educational Technology | ||
| 653 | |a Educational Change | ||
| 653 | |a Career Development | ||
| 653 | |a Correlation | ||
| 653 | |a Data Analysis | ||
| 653 | |a Educational Background | ||
| 700 | 1 | |a Huang, Jing |u Department of Scientific Research,Hunan Academy of Traditional Chinese Medicine, Changsha, Hunan 410006, China | |
| 700 | 1 | |a Li, Yongheng |u Department of Nursing, The Fourth Hospital of Changsha, Changsha, Hunan 410006, China | |
| 700 | 1 | |a Wang, Lijuan |u Department of Faculty of Medical Device and Management,Xiangtan Medicine & Health Vocational College, Xiangtan, Hunan 411104, China | |
| 700 | 1 | |a Liu, Jia |u Department of chinese traditional medicine, Hunan Cancer Hospital, Changsha, Hunan 410006, China | |
| 700 | 1 | |a Zhang, Fan |u Department of Nursing Education and Research, Sun Simiao Medical College,Tong chuan Vocational and Technical College, Tong chuan, Shanxi 727031, China | |
| 700 | 1 | |a Fu, Shaoli |u Department of Party and Government Office,Chongqing University of Chinese Medicine, Chongqing 402760, China | |
| 700 | 1 | |a Gong, Sha |u Department of Nursing college, Changde Vocational Technical College, Changde 415000, China | |
| 773 | 0 | |t Nurse Education in Practice |g vol. 87 (Aug 2025), p. 104499-104505 | |
| 786 | 0 | |d ProQuest |t Sociology Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3244815099/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3244815099/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3244815099/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |