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Enhancing Employment Capabilities of Vocational College Students in Yunnan’s Border Regions through Artificial Intelligence Technology

Author:

Lu,Chunli;Xie,Ziqiong;Huang,Xianqing*

Vol. 1, Issue 3, Pages: 24-27(2025)

Doi:

https://doi.org/10.62639/ssperi05.20250103

ISSN:

3078-1868

EISSN:

3080-0048

Views:

16

Downloads:

0

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Abstract

Artificial intelligence (AI) is rapidly transforming education, and its potential to enhance vocational education is particularly significant in underserved regions like Yunnan’s border areas. This paper explores the role of AI in improving the employability of vocational college students by offering personalized learning, AI-driven career guidance, and job simulation technologies. Despite the benefits, the implementation of AI in these areas faces significant challenges, such as inadequate infrastructure, lack of qualified teachers, and insufficient integration into existing educational frameworks. The research highlights the potential of AI applications to bridge the gap between education and the job market, especially by enhancing both learning experiences and career planning. Additionally, the paper examines emerging trends in AI, such as virtual reality (VR) and augmented reality (AR), and their potential applications in vocational education. Furthermore, it suggests strategies for overcoming the barriers to AI implementation, including infrastructure improvements and teacher professional development. The study concludes by emphasizing the importance of collaboration between educational institutions, tech companies, and local governments to maximize AI’s impact on vocational education and student employability. The findings suggest that AI can significantly improve the workforce readiness of students in Yunnan’s border regions, providing them with the skills necessary to succeed in a competitive job market.

Keyword

Artificial intelligence;Vocational education;Employment capabilities;Yunnan border regions;Career guidance

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