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.15004557
Primary Topic
Wood and Agarwood Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Empowers Pediatric Nursing Education: Challenges, Opportunities, and Developmental Pathways

Zenodo (CERN European Organization for Nuclear Research)
Wood and Agarwood Research
article

Artificial Intelligence Empowers Pediatric Nursing Education: Challenges, Opportunities, and Developmental Pathways

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 55%
Wood and Agarwood Research
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Artificial Intelligence Empowers Pediatric Nursing Education: Challenges, Opportunities, and Developmental Pathways · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS