Development of IoT Smart Cities and Optimization of English Education Systems Based on 5G Networks

Author:

Li Conghui1

Affiliation:

1. Zhengzhou University of Economics and Business

Abstract

Abstract In recent years, smart cities have become a popular research direction in the fields of natural and social sciences. This article analyzes the impact of 5G networks and the Internet of Things on smart life, speculates on the potential trends of the 5G era in people's daily lives, and explores methods based on the multiple situational changes in 5G life and how people can respond to these situations. Then, this article explores English education. In contemporary society, due to the rapid development of information technology and economic globalization, the importance of the universal language - English - is increasingly being valued. At present, the competition in English education in China is becoming more intense, and the requirements for English teachers and universities are becoming increasingly strict. This article adopts the methods of questionnaire survey and in-depth interview to manage and analyze the problems existing in the pre class, during class, and post class stages of English learning for college students. Attempt to use learning methods suitable for English universities to manage information systems, in order to improve the quality of teaching services and optimize English learning process management in various universities, in order to enhance industry competitiveness. This article aims to accelerate the development of smart cities by studying people's life experiences with 5G networks and the Internet of Things. It also analyzes the optimization of computer systems and applies them to English education systems.

Publisher

Research Square Platform LLC

Reference16 articles.

1. Evolution of mobile wireless communication to 5G revolution;Salih AA;Technol Rep Kansai Univ,2020

2. Study and investigation on 5G technology: A systematic review;Dangi R;Sensors,2022

3. Big data analysis of the internet of things in the digital twins of smart city based on deep learning;Li X;Future Generation Computer Systems,2022

4. A target recognition algorithm of multi-source remote sensing image based on visual Internet of Things;Sun XJ;Mob Networks Appl,2022

5. Blended learning in English teaching and learning: A review of the current literature;Albiladi WS;J Lang Teach Res,2019

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