人工智能驱动中国特色职教教师教育模式的逻辑、困境与路径OA

Against the backdrop of educational digitalization,the teacher education model with Chinese characteristics in vocational education is at a critical stage of in-depth integration between technology empowerment and local adaptation.The development of artificial intelligence has shifted the model from experience-driven to data-driven and intelligent decision-making supported,forming a structural feature of coordinated interaction among technical logic,educational logic and policy logic.Specifically,technical logic targets the precision and individualization of teacher capacity supply;educational logic focuses on the structural development of compound competencies of"dual-qualified"teachers;and policy logic ensures the effective integration of technological application and teacher development through institutional coordination.Nevertheless,practical dilemmas remain in insufficient technological adaptation,disconnected educational structures and lagging policy coordination.Accordingly,it is necessary to consolidate data foundation and construct a teacher competency portrait system integrating educational and industrial data,innovate training mechanisms to promote the collaborative education model of"AI+double-tutor system",and improve institutional environment with standard guidance and mechanism innovation to strengthen policy coordination,so as to realize systematic optimization and high-quality development of the model.