Practice research of classroom teaching system based on Kinect*

2020 ◽  
Author(s):  
Yi Zhou ◽  
Zhe YU ◽  
Xian-dong XU ◽  
Jin-sen ZHAI ◽  
He WANG
Keyword(s):  
Classroom Teaching ◽  
Practice Research ◽  
Teaching System

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.

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.

Research on construction and innovation new foreign language classroom teaching mode based on the “Internet Plus”

2021 ◽  
pp. 1-6
Author(s):  
Yu Ling
Keyword(s):  
Foreign Language ◽  
Rapid Development ◽  
Basic Data ◽  
Classroom Teaching ◽  
The Internet ◽  
Computer Assisted ◽  
Teaching Mode ◽  
Teaching System ◽  
Language Classroom ◽  
Foreign Language Classroom

Twenty-first Century is a global information age with rapid development of science and technology, and the information technology represented by multimedia and computer network changes our life and learning mode at extraordinary speed. Nowadays, the quality education is paid attention to by everyone. To further comply with the requirements of the new era curriculum teaching and personnel training, one of the general goals of the “English curriculum standards for senior high schools” promulgated by China in 2003 is to cultivate the “students’ comprehensive use of language skills” and to advocate the basic idea of “concern for students’ emotion”. Relying on the “Internet plus” background, this paper realizes the maintenance of basic data (thesaurus, question bank, article Library) through developing computer assisted foreign language teaching system, and teaching system is mainly to complete the overall design of the teaching system, which not only provides the basic data for the learning and testing of the foreign language assisted teaching system, but also lays a good foundation for the design and realization of the teaching system, and develops the game teaching interface. It has important research value to construct and innovate the new foreign language classroom teaching mode.

Research on Construction of Kinect-Based Virtual Situation Laboratory

2014 ◽  
Vol 532 ◽  
pp. 259-263
Author(s):  
Hong Jian Liao ◽  
Xiao Li Long ◽  
Li Ping Wang
Keyword(s):  
Computational Complexity ◽  
Low Cost ◽  
Depth Map ◽  
Interactive Technology ◽  
Classroom Teaching ◽  
Image Matting ◽  
Business English ◽  
Teaching System ◽  
Teaching Laboratory ◽  
Region Growth

In order to solve the problems of expensive and non-universal dedicated virtual situational teaching laboratory equipments, this paper proposed to apply Kinect to establish low-cost and strongly-immersive virtual situational teaching system. Figure image matting is a key issue of Kinect-based virtual situational teaching system. So a fast and real-time matting algorithm is hereby put forward with use of Kinect depth map. It adopt improved region growth algorithm to obtain trimap, coupled with the use of a set of shared sample points with low computational complexity. Through weighted filtering, image matting regions are smoothed so as to obtain accurate matting results. Practices in classroom situational teaching for Business English prove this matting method is robust and stable, and almost unaffected by light and complex background. Kinect-based virtual situation and somatosensory interactive technology can better meet the needs of classroom teaching, which is a low-cost and strongly-immersive virtual situational teaching solution.

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