English smart classroom teaching system based on 5 network and internet of things

2020 ◽  
pp. 103421
Author(s):  
Hongyan Bai ◽  
Qingmin Zhang
Keyword(s):  
Internet Of Things ◽  
Classroom Teaching ◽  
Teaching System ◽  
Smart Classroom

scholarly journals Design and Implementation of An Intelligent Classroom Teaching System for Music Class Based on Internet of Things

2021 ◽  
Vol 16 (18) ◽  
pp. 171
Author(s):  
Dong Lyu ◽  
Zhiying Wang
Keyword(s):  
Internet Of Things ◽  
Student Performance ◽  
Music Teachers ◽  
Teaching Practice ◽  
Classroom Teaching ◽  
Teaching System ◽  
Teaching Design ◽  
Ideal Tool ◽  
Music Class ◽  
Intelligent Classroom

The intelligent classroom teaching system can analyze the student features and teaching content, and then push the suitable content to students. With the aid of such a system, teachers can develop more flexible teaching strategies, and evaluate the student performance more accurately. Drawing on the theories of the Internet of things (IoT), this paper designed an intelligent classroom teaching system for music teachers, and applied the system to actual teaching practice. The results showed that the proposed system provided music teachers with an ideal tool of teaching design; the network structure of the system consists of collaborative, master, camera monitoring, and standby servers; the proposed system was found to satisfy all requirements through repeated tests. The research results provided a good theoretical support to the application of IoT in teaching design.

Fuzzy control based on genetic algorithm in intelligent psychology teaching system

2021 ◽  
pp. 1-9
Author(s):  
Xiaojia Pang ◽  
Yuwen Ning
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Control Theory ◽  
Classroom Teaching ◽  
Improved Genetic Algorithm ◽  
Group Function ◽  
Teaching Process ◽  
Teaching Management ◽  
Teaching System ◽  
Volume Group

The advancement of science has made computer technology and the education industry more and more closely related, and the development of intelligent teaching systems has also opened a new path for classroom teaching. This paper studies the application of fuzzy control based on genetic algorithms in the intelligent psychology teaching system. Facing the complicated variables in the teaching process, the improved genetic algorithm can better realize dynamic teaching decisions through fuzzy control. This article aims to improve the quality of psychology classroom teaching, and develops an intelligent psychology teaching system based on the fuzzy control theory of genetic algorithm. Combined with the current development of fuzzy control theory, the problems existing in the intelligent teaching system are studied and analyzed, and they have been optimized and improved. This paper proposes a control algorithm based on a teaching management system. The algorithm can implement fuzzy control on student models, knowledge organization structure, intelligent test papers and teaching decision-making. While restoring the real teaching process, it can better realize teaching students in accordance with their aptitude and improve teaching. The intelligence of the system. According to the system test data, the proportions of the difficulty of the system’s automatic test paper are 30.1%, 51.6%, 18.3%, which are in line with the designer’s set expectation of 3 : 5:2, which shows the improved genetic algorithm. It can realize the intelligent volume group function very well.

Design and Implementation of Smart Classroom Based on Internet of Things and Cloud Computing

2021 ◽  
Vol 14 (2) ◽  
pp. 38-51
Author(s):  
Kai Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Classroom Management ◽  
Classroom Environment ◽  
The Internet ◽  
Smart Classroom ◽  
Technology Innovations ◽  
Internet Of Things Technology ◽  
Smart Classrooms ◽  
The Internet Of Things

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.

scholarly journals Design of College English Halving Classroom Teaching System Based on Big Data

2021 ◽  
Vol 2066 (1) ◽  
pp. 012082
Author(s):  
Guilan Chen
Keyword(s):  
Big Data ◽  
Classroom Teaching ◽  
Test Results ◽  
Dynamic Configuration ◽  
Teaching Resources ◽  
Teaching System ◽  
College English ◽  
Training Models ◽  
The Status ◽  
Talent Education

Abstract With the development of big data and the continuous advancement of education informatization, the single lecture-based classroom teaching model no longer meets the development requirements of the society for the development of talent education and training. Under the environment of big data technology, how to innovate teaching models and talent training models becomes the focus of the current classroom teaching reform. This article aims to study the design of the college English bisection classroom teaching system based on big data. On the basis of introducing the bisection classroom, the basic theory of teaching system design and the design principles of the bisection classroom teaching system, the theoretical analysis and top-level design of the system login module and the teaching system that adaptively integrates teaching resources according to the status of college students are carried out. Finally, an experimental test of the college English split-class teaching system based on big data has been carried out. The test results show that the system can realize the core of system management, teaching resource release and dynamic configuration.

scholarly journals Research and Application of the Interactive English Online Teaching System Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Huani Chen ◽  
Jian Huang
Keyword(s):  
Internet Of Things ◽  
Online Teaching ◽  
Internal Consistency Reliability ◽  
Teaching Quality ◽  
The Internet ◽  
Teaching System ◽  
Topological Structures ◽  
English Teaching ◽  
Short Period ◽  
The Internet Of Things

Nowadays, due to the pandemic and other problems, the establishment of physical classes is a big headache for both students and teachers, due to which the education system all over the world is shifted to the online system from the physical system. Advance technologies such as the Internet of Things (IoT) are playing a significant part in various sectors of life such as health, business, and education. In order to effectively improve the effect of online English teaching, this study designed an interactive online English teaching system based on the IoT technology. This study proposes three topological structures for the establishment of the proposed IoT-based online English teaching system. Based on the analysis of the three topological structures of the IoT, this study chooses to design each submodule of the front and back of the system in the network IoT environment to realize the daily operation and various functions of the system and to realize the interactive design of both of the teacher and student side. Based on this approach, an online English teaching system is designed, and the teaching quality based on this system is evaluated with the help of an algorithm known as grey relational analysis algorithm. The experimental results show that, after the application of this system, students have access to the teaching materials and content in a short period of time; and the English test scores were improved and were significantly higher as compared to the traditional teaching system. In addition, at the same time, the internal consistency reliability of the proposed system is very high which fully demonstrates the effectiveness of the proposed system.

scholarly journals Smart Classroom – A Stepping Stone in Making Digital India

2019 ◽  
Vol 8 (4) ◽  
pp. 8775-8778
Keyword(s):  
Internet Of Things ◽  
Classroom Environment ◽  
Information Transfer ◽  
Recent Progress ◽  
The Internet ◽  
Stepping Stone ◽  
Noticeable Change ◽  
Smart Classroom ◽  
Smart Classrooms ◽  
The Internet Of Things

Recent progress in learning indicates the importance of students to be active in invents things rather than passive recipients. Smart Classrooms can make a noticeable change in how teachers can teach and learners can learn. The objective of the project presented in this paper is to propose a smart algorithm that provides a means of achieving a smart classroom environment in which most of the manual processes are automated and provides an efficient way of interconnecting multiple classes, thereby providing a unique way for information transfer. The proposed algorithm uses the Internet of Things to communicate between various classrooms and transmit/receive the required information. An embedded module installed in each classroom can collect information such as attendance detail, teacher’s location, and updates the information in the server for future use. These details are then used for some critical purposes, such as sending circulars, calling a particular teacher immediately to the office, etc

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