The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory

Jie Gan

doi:10.47297/wspiedWSP2516-250036.20250911

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The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory

9卷第11期

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The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory
The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory
Pingxiang Health Vocational College, Pingxiang, Jiangxi, 337000, China
2025年9卷第11期页码：163-169
纸质出版：2025-11-30
DOI：10.47297/wspiedWSP2516-250036.20250911
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Jie Gan. (2025). The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory. 国际教育与发展（英文版）, 9(11), 163-169.

Jie Gan.The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory[J].Journal of International Education and Development,2025,09(11):163-169.
Jie Gan. (2025). The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory. 国际教育与发展（英文版）, 9(11), 163-169. DOI： 10.47297/wspiedWSP2516-250036.20250911.

Jie Gan.The Impact and Reconstruction of Artificial Intelligence on Vocational Education Ecosystems: An Analysis Based on Stakeholder Theory[J].Journal of International Education and Development,2025,09(11):163-169. DOI： 10.47297/wspiedWSP2516-250036.20250911.

摘要

Abstract

Artificial intelligence (AI) is rapidly transforming labor markets and skill demands

compelling vocational education and training (VET) systems worldwide to adapt. Existing studies focus on AI's technical or curricular impacts but lack a systemic analysis of how it reshapes stakeholder dynamics within the VET ecosystem. Drawing on stakeholder theory

this study employs a mixed-methods approach

combining systematic literature review

comparative case studies of Germany

Singapore

and China

and qualitative analysis of 42 policy documents. AI exerts asymmetric effects across stakeholders

elevating employer influence

intensifying learner urgency

challenging educator roles

and straining government oversight

while simultaneously fostering new governance models such as data consortia

modular credentials

and AI-enhanced apprenticeships. The paper proposes a dynamic stakeholder-based framework for understanding and guiding AI-driven VET transformation

offering practical strategies for equitable and resilient skills development in the digital age.

关键词

Keywords

references

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