人工智能背景下高校移动通信实验教学方法与策略
Experimental Teaching Methods and Strategies for Mobile Communications in Universities Under the Background of Artificial Intelligence
孙亚楠1
作者信息
摘要
通过对高校移动通信实验教学中人工智能的应用概况、教学中的技术应用、方法创新与实践、策略优化与深化、质量评价体系构建等方面的深入探讨,旨在进一步提升实验教学效果.通过对人工智能在高校移动通信实验教学中应用的概述可知,人工智能技术为高校移动通信实验教学带来了新的机遇与挑战,在实验教学中,人工智能技术的应用提高了教学效率、拓展了教学方式,为学生提供了更多学习机会.
Abstract
Through the in-depth exploration of the application overview of Artificial Intelligence(AI)in the ex-perimental teaching of Mobile Communications in universities,technological applications in teaching,method in-novation and practice,strategy optimization and deepening,and quality evaluation system construction,the aim is to further improve the effectiveness of experimental teaching.Through an overview of the application of AI in the experimental teaching of Mobile Communications in universities,it is found that AI technology has brought new opportunities and challenges to the experimental teaching of Mobile Communications in universities.In experimen-tal teaching,the application of AI technology has improved teaching efficiency,expanded teaching methods,and provided students with more learning opportunities.
关键词
人工智能/高校/移动通信/实验教学Key words
Artificial Intelligence/Universities/Mobile Communications/Experimental teaching引用本文复制引用
基金项目
2023年艾比睿(北京)信息教育部产学合作协同育人项目(231001913122017)
出版年
2024
NETL
NSTL
万方数据