Application of Genetic Algorithm in University Teaching Management System

2022 ◽  
pp. 613-620
Author(s):  
Qi Huang ◽  
Ying Wang
Keyword(s):  
Genetic Algorithm ◽  
Management System ◽  
University Teaching ◽  
Teaching Management

scholarly journals The Application of Computer Management System in Physical Education Teaching

2021 ◽  
Vol 275 ◽  
pp. 03016
Author(s):  
Liying Chen
Keyword(s):  
Physical Education ◽  
Management System ◽  
Ant Colony Algorithm ◽  
University Teaching ◽  
Network System ◽  
Teaching Management ◽  
Network Teaching ◽  
School Sports ◽  
Traditional Mode ◽  
Solid Foundation

School physical education(PE) is an indispensable part of school education, which plays an important and irreplaceable role in training builders of socialist cause with all-round development of morality, intelligence and sports. Sports network teaching management greatly improves the efficiency and efficiency of school sports teaching, which is a great change of the traditional mode., it provides a solid foundation for the establishment of Sports Network Teaching in Colleges and universities(CAU). This paper mainly studies the application of computer management system(CMS) in physical education teaching(PET). This paper studies and analyzes the method of university teaching computer management resources integration, studies the architecture of sports teaching CMS from four aspects of computing resources, storage resources, backup resources and network system, and uses ant colony algorithm to design and use sports teaching CMS. This paper also uses charts to analyze students’ attitude towards the use of CMS in PET, and the proportion of CMS in PET. The experimental results show that in the CMS of PET, the computing resources account for 38.33%, the storage resources account for 31.76%, the backup resources account for 14.62%, and the network system account for 15.29%.

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.

The Design and Implementation of Teaching Management System Used in Experiment and Training Base

2011 ◽  
Vol 121-126 ◽  
pp. 1120-1124
Author(s):  
Yan Shang ◽  
Hong Sheng Ding ◽  
Chun Yan Wang ◽  
Long Jiang Su ◽  
Yu Can Zhao
Keyword(s):  
Resource Sharing ◽  
Management System ◽  
Control Experiment ◽  
Numerical Control ◽  
Teaching Process ◽  
Teaching Management ◽  
Management Level ◽  
Design And Implementation ◽  
And Training ◽  
Automatic Level

In order to improve the automatic level of teaching management in experiment and training base, a teaching management system is designed and implemented. The teaching process such as checking on work attendance, logging on school reports and equipments’ management can be carried automatically. The efficiency and the management level can be increased, and the resource sharing can be realized. to meet this demand. The use of numerical control experiment and training management system will improve the level of teaching and management of our training base.

Design and Evaluation of Usable Systems

2002 ◽  
Vol 46 (3) ◽  
pp. 367-371
Author(s):  
John F. McGrew
Keyword(s):  
Genetic Algorithm ◽  
Change Management ◽  
Management System ◽  
Design Method ◽  
The Other ◽  
Design Team ◽  
Style Analysis ◽  
Decision Style ◽  
Parallel Design

This paper discusses a case study of a design and evaluation of a change management system at a large Telecommunications Corporation. The design and evaluation were done using the facilitated genetic algorithm (a parallel design method) and user decision style analysis. During the facilitated genetic algorithm the design team followed the procedure of the genetic algorithm. Usability was evaluated by applying user decision style analysis to the designed system. The design is compared with an existing system and with one designed by an analyst. The change management system designed by the facilitated genetic algorithm took less time to design and decision style analysis indicated it would be easier to use than the other two systems.

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