Work

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

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15004557

Author: Xia Xichao1*, Liu Dan2

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDGs: Quality education, Good health and well-being

Open Access status: green

OpenAlex ID: W6930629835

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