职业技术教育2026，Vol.47Issue(1)：59-66,8.
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
Generative Artificial Intelligence Empowering the Construction of Large Vocational Education Model:Functional Logic and Paths Strategies
摘要
Abstract
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.关键词
生成式人工智能/职业教育/大模型/教育强国/大数据Key words
generative artificial intelligence/vocational education/large model/powerful education country/big data分类
社会科学引用本文复制引用
Xie Qingsong,Bai Ran,Guo Dongmei..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[J].职业技术教育,2026,47(1):59-66,8.基金项目
2025年重庆市职业教育教学改革研究项目"'动态图谱·模块化团队·数字画像'融合驱动的智能网联精准育人路径研究"(Z2251012),主持人:黄河清 （Z2251012）
2024年重庆市教委科学技术研究计划项目"垂直领域大模型驱动的基层干部数字领导力框架构建算法研究"(KJQN202404015),主持人:周士凯 （KJQN202404015）
2025年度国家社会科学基金教育学西部项目"数字时代终身学习制度体系研究"(XJA250364),主持人:谢青松 （XJA250364）
