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

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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.

Key words： engineering education localization replacement Julia programming language know- ledge graph personalized learning

Received: 01 October 2025

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	Articles by authors
	MA Yingjie
	XIAO Song
	YANG Yatao
	GUO Chao
	JIN Jifang

Cite this article:

MA Yingjie,XIAO Song,YANG Yatao等. Artificial intelligence-empowered transformation of engineering education: reconstructing the talent cultivation system for communication engineering through a domestically developed simulation ecosystem[J]. Electrical Engineering, 2026, 27(5): 50-54.

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https://dqjs.cesmedia.cn/EN/Y2026/V27/I5/50

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