The design of smart classroom for modern college English teaching under Internet of Things

Author:

Nai RuihuaORCID

Abstract

This study aims to improve the efficiency of modern college English teaching. With interactive teaching as the core element, smart classrooms as technical support, and informationization, automation, and interaction as the main body, a smart system for college English teaching is established based on cloud computing and Internet of Things (IoT). The system is built using the B/S architecture and verified by specific example data, to prove the effectiveness of the proposed smart system for college English teaching based on the IoT. It is found that the smart platform for English teaching based on the IoT not only effectively improves the stability of the system, but also enhances the personal experience of students. The coordinated operation of the various modules reduces the response time of the system. When the number of users reaches 500, the average response time of the system is 3.65 seconds, and the memory and occupancy rate of the system are reduced. Students who receive smart classrooms for teaching have a greater improvement in the test results of various aspects of English without teacher intervention. The proposed model can significantly improve the performance of poor students and reduce the gap in learning performance in the class, which provides reliable research ideas for smart teaching in modern colleges and universities.

Funder

Xi’an Fanyi University, Shaanxi, China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference30 articles.

1. Integration of information and communication technology in teaching: Initial perspectives of senior high school teachers in Ghana;V Arkorful;Education and Information Technologies,2021

2. What smart campuses can teach us about smart cities: User experiences and open data;R Vasileva;Information,2018

3. A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems.;A Quadri I;Applied Energy,2018

4. How smart are smart classrooms? A review of smart classroom technologies;K Saini M;ACM Computing Surveys (CSUR).,2019

5. IoT based Cloud Integrated Smart Classroom for smart and a sustainable Campus;F Banu;Procedia Computer Science,2020

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3