Challenges and Opportunities for the Development of Vocational Education in the Age of Artificial Intelligence: A Study Based on Educational Ecology Theory

Abstract

Abstract:In the context of rapid advancements in artificial intelligence (AI) technology, vocational education, as a crucial pathway for cultivating applied skill talent, is undergoing profound systemic transformation. Educational ecology theory, emphasizing holism, dynamism, diversity, and sustainable development, provides theoretical support for the optimization and innovation of vocational education. Research indicates that AI technology is reshaping the vocational education ecosystem, leading to significant changes in key aspects such as stakeholder roles, resource allocation, teaching models, and external environments. Meanwhile, in the process of dynamic equilibrium and co-evolution, the vocational education ecosystem faces multiple challenges, including inadequate technological adaptability, uneven resource distribution, and lagging policy support. However, it also presents opportunities for curriculum optimization, deeper industry integration, and personalized training.

This study systematically analyzes vocational education in the AI era from the perspective of the educational ecosystem. Based on educational ecology theory, it proposes strategies for optimizing the vocational education ecosystem. These strategies aim to enhance the coordination and sustainability of the vocational education ecosystem, providing both theoretical support and practical pathways for its development in the AI era. Through this research, the study further enriches the practical application of educational ecology theory and offers scientific guidance and reference value for vocational education in adapting to technological transformations.