摘要
文章针对新型通信理论教学中的抽象性难题,提出了融合增强现实(Augmented Reality,AR)、数字孪生与智能算法的数字化教学生态系统。通过多模态感知技术实现复杂通信理论的场景化拆解,构建虚实协同的智能实验体系,并建立基于区块链的可信存证闭环教学管理机制。重点突破动态的理论可视化呈现、硬件在环精准仿真、联邦学习(Federated Learning,FL)驱动的能力画像等关键技术,形成覆盖“知识传授—实验验证—成果认证”全流程的数字化解决方案。研究表明,该框架显著提升了通信专业教学的系统性、精准性与可溯性。
The paper proposes a digital teaching ecosystem integrating augmented reality(AR),digital twin and intelligent algorithm to solve the abstract problem in the teaching of new communication theory.Through multi-modal sensing technology,the scenario-based decomposition of complex communication theory is realized,a virtual-real collaborative intelligent experiment system is constructed,and a closed-loop teaching management mechanism based on blockchain and trusted certification is established.The framework focuses on breakthroughs in key technologies including dynamic theoretical visualization,hardware-in-the-loop precision simulation,and federated learning(FL)driven capability profiling.It establishes a digital solution covering the entire process from“knowledge transmission,experimental verification,to achievement certification”.Research demonstrates that this framework significantly enhances the systematicness,precision,and traceability of communication engineering education.
作者
张艳丽
ZHANG Yanli(Chuxiong Technician College,Yunnan Modern Vocational Technology College,Chuxiong Yunnan 675000,China)
出处
《信息与电脑》
2025年第19期233-235,共3页
Information & Computer
