Artificial intelligence-empowered transformation of engineering education: reconstructing the talent cultivation system for communication engineering through a domestically developed simulation ecosystem
MA Yingjie, XIAO Song, YANG Yatao, GUO Chao, JIN Jifang
Department of Electronic and Communication Engineering, Beijing Electronic Science and Technology Institute, Beijing 100070
Abstract：In response to the dual strategic demands of digital transformation in engineering education and core technology sovereignty, this study innovatively proposes a tripartite collaborative framework, which is “ideological education-artificial intelligence empowerment-domestic practice”, for cultivating communication engineering talent in higher education. Leveraging the domestic modeling/ simulation platform and Julia high-performance programming language, a virtual simulation teaching system spanning the full communication system chain is developed. It achieves 100% self-developed algorithm libraries, establishing a reusable domestic technology ecosystem. Driven by knowledge graphs for personalized learning paths, the system integrates technological sovereignty awareness into the engineering competency matrix, creating a trinity educational paradigm that is value cultivation- knowledge transfer-capability building. This framework presents a scalable Chinese paradigm for engineering education that effectively addresses “chokepoint” technology challenges.
马英杰, 肖嵩, 杨亚涛, 郭超, 靳济方. 人工智能赋能工程教育转型：基于自主国产化仿真生态重构通信类专业人才培养体系[J]. 电气技术, 2026, 27(5): 50-54.
MA Yingjie, XIAO Song, YANG Yatao, GUO Chao, JIN Jifang. Artificial intelligence-empowered transformation of engineering education: reconstructing the talent cultivation system for communication engineering through a domestically developed simulation ecosystem. Electrical Engineering, 2026, 27(5): 50-54.
2026, Vol. 27 
