On May 16, the inaugural meeting for the National Advanced Manufacturing and Industrial Embodied AI Industry-Education Integration Consortium was held at the Tianjin Nankai Park. Representatives from various sectors gathered to discuss strategies for deepening industry-education integration and to embark on a new journey in cultivating interdisciplinary talent for the advanced manufacturing and industrial embodied AI fields. It is reported that the consortium was jointly initiated by Asia Vets, Tianjin University of Technology and Education, and Tianjin Binhai Vocational College. It has now attracted 161 member units from 24 provinces, autonomous regions, and municipalities across the country. The membership encompasses a diverse range of entities including secondary and higher vocational colleges, technical schools, undergraduate institutions, industry organizations, and upstream and downstream enterprises. This marks a new phase of systematic and substantive operation for industry-education integration in China's advanced manufacturing and industrial embodied AI sector. The consortium will focus on deep industry-education integration, aiming to establish a collaborative talent cultivation mechanism involving government, industry, enterprises, and schools. Member units will align with industry needs to jointly develop professional standards and curriculum systems. They will create diversified training models such as commissioned training, order-based training, and modern apprenticeship programs. Efforts will be made to promote two-way faculty exchanges between enterprises and schools, smooth pathways for graduate employment within the industry, integrate vocational and general education, and expand continuing education channels. These initiatives are designed to scale up talent cultivation and enhance its quality. Furthermore, the consortium will facilitate the sharing of teaching resources, technological achievements, and patent benefits. It will jointly establish innovation centers, physical platforms for talent development, resource development centers, talent service centers, technology transfer centers, and digital governance platforms. These efforts aim to foster new quality productive forces, promote the deep integration of education, talent, industry, and innovation chains, better serve the development of new industrialization and the building of a manufacturing powerhouse, and set a national benchmark for industry-education integration in advanced manufacturing and industrial embodied AI.
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