AI-Driven Transformation of Vocational Education: Opportunities, Challenges, and Future Paths
Year: 2025
Type: article
Abstract: AI's rapid development offers new opportunities for China's vocational education. This study (experiments + interviews) across five colleges (eastern, central, western) highlights key breakthroughs: AI learning analysis improved skill pass rates by 22.7% (36.3% for underperforming students), virtual simulation cut costs by 89.6%, and AI platforms enabled cross-regional resource flow, allowing western colleges to surpass eastern ones in VR training hours. Challenges include high AI customization costs (over 1 million yuan), limited teacher AI training (15% trained), data security risks, and industry gaps. The paper proposes a “technology adaptation-talent support-mechanism guarantee” ecosystem: lightweight technologies, regional equipment sharing, teacher training, enhanced data security, and policy-backed collaboration (subsidies + real-time data links) to shift vocational education from “standardized” to “precision” training.
DOI: 10.4018/ijkm.394819
Author: Yingchao Zhang
Institution: Zhengzhou Railway Vocational & Technical College
Language: Ndonga
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4417047183