Digital Transformation of Vocational Education in South China: Challenges, Breakthroughs, and Data-Driven Insights Using Machine Learning Models

This research study presents the digital transformation of vocational education in South China. The focus of this study is on investigating the challenges, achievements and strategies in vocational education. In this study, a data-driven approach based on machine learning models such as decision tree and clustering analysis has been used. Dataset of 27 pilot institution is used in this study. Results show the role of big data, AI and digital platforms. The applications of these technologies enhance the teaching methods, talent cultivation, and school-enterprise collaboration. This study identifies key challenges, including weak digital infrastructure, poor resource integration and low teacher literacy. The findings of this study suggests some solution to address these issues. A strong policy support, improved resource sharing and better digital infrastructure are recommended in this study. These steps aimed at promoting the high quality vocational education in the region.