Pathways for Breaking Through the Dilemmas of Vocational Education in China from the Perspective of Artificial Intelligence Empowerment

Against the backdrop of the rapid development of artificial intelligence technology, vocational education in China is facing deep-seated contradictions stemming from the structural mismatch between talent supply and industrial demand. These challenges are further exacerbated by social cognitive biases, uneven resource distribution, and outdated teaching models. This study systematically examines the historical evolution, scale characteristics, and current challenges of vocational education. At the same time, it draws on the successful application experiences of AI in basic education and higher education, and proposes several innovative solutions centered on AI technology, aiming to construct a theoretical framework for the deep integration of vocational education and AI technology, break through development bottlenecks, and promote the transformation of vocational education from scale expansion to connotation improvement in the digital economy era.

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Publication Details

Journal
Innovative applications of AI.
Published
2025-09-30
DOI
https://doi.org/10.70695/iaai202503a2
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Pathways for Breaking Through the Dilemmas of Vocational Education in China from the Perspective of Artificial Intelligence Empowerment

Yuling Shi, Zhen‐Hua Lyu
Innovative applications of AI.
Medical Research and Treatments
article

Pathways for Breaking Through the Dilemmas of Vocational Education in China from the Perspective of Artificial Intelligence Empowerment

Yuling Shi, Zhen‐Hua Lyu
article en

Abstract

Against the backdrop of the rapid development of artificial intelligence technology, vocational education in China is facing deep-seated contradictions stemming from the structural mismatch between talent supply and industrial demand. These challenges are further exacerbated by social cognitive biases, uneven resource distribution, and outdated teaching models. This study systematically examines the historical evolution, scale characteristics, and current challenges of vocational education. At the same time, it draws on the successful application experiences of AI in basic education and higher education, and proposes several innovative solutions centered on AI technology, aiming to construct a theoretical framework for the deep integration of vocational education and AI technology, break through development bottlenecks, and promote the transformation of vocational education from scale expansion to connotation improvement in the digital economy era.

Innovative applications of AI.Vol. 2(3)
Hospital Universiti Sains Malaysia (MY)
Openalex Percentile: Top 58%
Medical Research and Treatments
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Pathways for Breaking Through the Dilemmas of Vocational Education in China from the Perspective of Artificial Intelligence Empowerment — Yuling Shi, Zhen‐Hua Lyu · Innovative applications of AI. (2025) | TGRS Research Map | TGRS