Opportunities and Challenges of Artificial Intelligence for Surgical Nursing Curriculum

Under the strategic background of “Healthy China 2030” and “Stronger Education”, artificial intelligence (AI) is closely related to the development of the Chinese medicine industry. Under the background of the “Healthy China 2030” and “Education for a Strong Country” strategy, the combination of artificial intelligence and medical education has become an inevitable trend. Surgical Nursing, as a core nursing course, it is significant to integrate AI technology into teaching. This study attempts to use AI for the teaching practice of assigning homework by teachers and classroom discussion by students. It is found that AI can effectively assist teachers in realizing interdisciplinary knowledge integration, promote the cultivation of students' innovative, critical, and cross-border thinking, and comply with the national demand for cultivating new medical talents, but it also brings challenges such as the difficulty of changing teachers' roles and adapting to student's learning styles, which requires the collaboration of multiple parties to promote the application of AI in medical education.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.15124148
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Opportunities and Challenges of Artificial Intelligence for Surgical Nursing Curriculum

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Opportunities and Challenges of Artificial Intelligence for Surgical Nursing Curriculum

article en

Abstract

Under the strategic background of “Healthy China 2030” and “Stronger Education”, artificial intelligence (AI) is closely related to the development of the Chinese medicine industry. Under the background of the “Healthy China 2030” and “Education for a Strong Country” strategy, the combination of artificial intelligence and medical education has become an inevitable trend. Surgical Nursing, as a core nursing course, it is significant to integrate AI technology into teaching. This study attempts to use AI for the teaching practice of assigning homework by teachers and classroom discussion by students. It is found that AI can effectively assist teachers in realizing interdisciplinary knowledge integration, promote the cultivation of students' innovative, critical, and cross-border thinking, and comply with the national demand for cultivating new medical talents, but it also brings challenges such as the difficulty of changing teachers' roles and adapting to student's learning styles, which requires the collaboration of multiple parties to promote the application of AI in medical education.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Artificial Intelligence in Healthcare and Education
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Opportunities and Challenges of Artificial Intelligence for Surgical Nursing Curriculum · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS