Exploration and Practice in the Construction of Engineering Training Centers under the Background of Intelligent Manufacturing
Year: 2025
Type: conference-paper
Abstract: Intelligent manufacturing is driving profound transformations and comprehensive upgrades in the global manufacturing industry at an unprecedented pace. There is a growing demand for multidisciplinary, innovative, and globally-minded engineering talents who possess interdisciplinary integration capabilities, digital intelligence, innovative practical abilities, international perspectives, as well as engineering ethics and social responsibility. Engineering training centers serve as a bridge connecting theory and practice, and are crucial platforms for cultivating students' engineering practical abilities, innovative capabilities, and professional qualities. To meet the needs of New Engineering education, our university has actively drawn on the experiences of renowned domestic and international institutions, combining our unique educational characteristics and existing resources to comprehensively renovate, upgrade, and construct our engineering training center. Adhering to the talent cultivation philosophy of “broad scope, solid foundation, strong practice, and emphasis on innovation," we have established a tripartite engineering training system comprising basic engineering training platforms, advanced manufacturing technology training platforms, and intelligent engineering training platforms. This system is designed to meet the training needs for digital intelligence, interdisciplinary integration, and innovative practice. Additionally, we structured a four-tiered practical training curriculum encompassing engineering cognitive training, engineering skills training, engineering comprehensive training, and innovation and entrepreneurship training. This approach aims to achieve our talent cultivation objectives from various dimensions and provide robust support for nurturing versatile, innovative, and internationally competent engineering talents suited to the demands of intelligent manufacturing.
Authors: Jitao Fang, Xin Chen, Ronglai Liu, Baocheng Zhan
Institution: University of Jinan
Language: English
Subfield: Architecture
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4413987047