Computer Teaching System Based on Internet of Things and Machine Learning

doi:10.1155/2022/3974794

CQUET-IR > 财经管理学院

	Computer Teaching System Based on Internet of Things and Machine Learning
	Chen, Lei; Zhang, Li
	2022
发表期刊	JOURNAL OF CONTROL SCIENCE AND ENGINEERING
ISSN	1687-5249
EISSN	1687-5257
卷号	2022
摘要	In order to solve the problem that the traditional computer-aided teaching system is affected by communication technology, which leads to the inability to interact between teachers and students, the author proposes a research on a computer teaching system based on the Internet of Things and machine learning. The hardware structure is designed according to the functions of each module of the system, in which the student learning module is composed of a teaching coordination agent and a number of other agents, responsible for the presentation of specific teaching materials, problem solving, knowledge sharing through a collaborative mechanism, and providing personalized teaching basis for the system. The teacher's teaching module mainly provides students with corresponding teaching strategies according to the learning requirements and uses its own reasoning mechanism to provide intelligent guidance to the problems encountered in the teaching process; the assessment module uses assessment rules to analyze student responses, comprehensive assessment of students' learning behaviors, attitudes, effects, and abilities. The software function is designed with SQL Server 2000 as the database server, in the case of determining the data attributes, the data online evaluation is carried out, and the distance teaching is completed by combining the network technology. The experimental results show that when the time is 20s, the teaching efficiency of the traditional system is 61%, and the teaching efficiency of the artificial intelligence system is 91%. As a result, the teaching efficiency of the system based on the Internet of Things and machine learning is high, and it can provide equipment support for students' learning. © 2022 Lei Chen and Li Zhang.
关键词	Computer aided instruction Distance education Efficiency Internet of things Learning systems Machine learning Communicationtechnology Computer teaching Computer-aided teaching systems Hardware structures Machine-learning Student learning Teachers' Teaching efficiencies Teaching systems Traditional computers
DOI	10.1155/2022/3974794
收录类别	EI ; ESCI
语种	英语
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000869933900002
出版者	Hindawi Limited
EI入藏号	20224212986055
原始文献类型	Journal article (JA)
出版地	LONDON
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/14154
专题	财经管理学院
作者单位	Chongqing College of Electronic Engineering, Chongqing; 401331, China
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Chen, Lei,Zhang, Li. Computer Teaching System Based on Internet of Things and Machine Learning[J]. JOURNAL OF CONTROL SCIENCE AND ENGINEERING,2022,2022.
APA	Chen, Lei,&Zhang, Li.(2022).Computer Teaching System Based on Internet of Things and Machine Learning.JOURNAL OF CONTROL SCIENCE AND ENGINEERING,2022.
MLA	Chen, Lei,et al."Computer Teaching System Based on Internet of Things and Machine Learning".JOURNAL OF CONTROL SCIENCE AND ENGINEERING 2022(2022).