生成式人工智能赋能职业教育大模型建设:功能逻辑与路径策略OA

The global rise and application of generative AI are driving profound changes in the vocational education system and the structure of vocational skills training.Generative AI's powerful data analysis and processing capabilities have a direct impact on vocational education program design and employment opportunities,which is driving a comprehensive transformation of vocational education,shifting its focus from knowledge transfer to competency development,and reshaping the paradigm for cultivating skilled personnel in vocational education.Based on a design research paradigm,the underlying logic and functional elements of generative AI-enabled vocational education have been analyzed and a framework for building a large-scale vocational education model has been proposed.The framework includes five steps:demand alignment,data engineering,model selection,scenario fine-tuning,and implementation.From the perspective of building a powerful vocational education country,several suggestions have been proposed:strengthening top-level design and policy planning,optimizing resource integration and sharing;focusing on data governance and performance monitoring,prioritizing teaching and practice for teachers and students;and emphasizing comprehensive promotion and implementation,with continuous optimization and improvement.