Artificial Intelligence Empowers Pediatric Nursing Education: Challenges, Opportunities, and Developmental Pathways
This paper examines the multidimensional impact of artificial intelligence (AI) on pediatric nursing education. It analyzes challenges in teaching models, student competency development, and ethical norms while exploring opportunities for innovative pedagogy, enhanced practical skills, and expanded teacher development. Strategies are proposed to build integrated systems, cultivate AI literacy, and strengthen regulatory frameworks, aiming to foster synergistic development between pediatric nursing education and AI. This research provides theoretical foundations and practical guidance for cultivating high-quality pediatric nursing professionals.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-11
- DOI
- https://doi.org/10.5281/zenodo.15004558
- Primary Topic
- Genetic diversity and population structure
- Type
- article
- Field-Weighted Citation Impact
- 0.00