电气技术2026，Vol.27Issue(5)：50-54,5.
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
Artificial intelligence-empowered transformation of engineering education:reconstructing the talent cultivation system for communication engineering through a domestically developed simulation ecosystem
摘要
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.关键词
工程教育/国产化替代/Julia 语言/知识图谱/个性化学习Key words
engineering education/localization replacement/Julia programming language/know-ledge graph/personalized learning引用本文复制引用
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):50-54,5.基金项目
北京电子科技学院教学类培育孵化项目(20250066Z0220、20230077Z0220)北京市高校课程思政示范项目(20230114Z0219)北京市高等教育学会重点课题(2024021) （20250066Z0220、20230077Z0220）
