The Application of Artificial Intelligence in Smart Education for Nursing Students

Abstract

Nursing education is undergoing a paradigm shift from skill training to clinical thinking cultivation. The integration of artificial intelligence technology offers technical possibilities for this transformation, but it also brings about a deep tension between the cultivation of humanistic qualities and a standardized training. Based on the analysis of the practical forms of nursing smart education, this paper examines the cognitive gap between the deterministic feedback of virtual simulation systems and the complexity of real clinical scenarios, reveals the potential narrowing effect of data-driven ability profiling on the all-round development of nursing students, and then proposes the design logic of intelligent teaching resources centered on real clinical problems, a hierarchical teaching model with clear human-machine division of labor, and a dynamic assessment mechanism for technology application led by professional nursing teachers, in an attempt to find a balance between technological empowerment and humanistic commitment in smart nursing education.

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