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OA
Artificial intelligence-empowered transformation of engineering education:reconstructing the talent cultivation system for communication engineering through a domestically developed simulation ecosystem
面向工程教育数字化转型与核心技术自主可控的双重战略需求,本文提出"思政引领-人工智能赋能-国产实践"三维协同的高校通信类专业人才培养体系.依托国产系统建模仿真平台与 Julia 高性能编程语言,构建覆盖通信系统全链路的虚拟仿真教学体系,实现 100％自主算法库开发,形成可复用的国产技术生态.通过知识图谱驱动个性化学习路径,将技术主权意识融入工程能力培养矩阵,创建"价值塑造-知识传授-能力培养"三位一体育人范式,为破解"卡脖子"技术困境提供可推广的工程教育中国方案.
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
北京电子科技学院电子与通信工程系,北京 100070北京电子科技学院电子与通信工程系,北京 100070北京电子科技学院电子与通信工程系,北京 100070北京电子科技学院电子与通信工程系,北京 100070北京电子科技学院电子与通信工程系,北京 100070
工程教育国产化替代Julia 语言知识图谱个性化学习
engineering educationlocalization replacementJulia programming languageknow-ledge graphpersonalized learning
《电气技术》 2026 (5)
50-54,5
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)
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