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Designing a Teaching Assistant System for Physical Education Using Web Technology
An efficient and effective management is mandatory for the success of every organization, especially educational institutes. Following the course curriculum and completing it in time are beneficial for the students and the colleges’ reputation in educational institutes. In this paper, intelligent ma...
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Published in: | Mobile information systems 2021, Vol.2021, p.1-11 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | An efficient and effective management is mandatory for the success of every organization, especially educational institutes. Following the course curriculum and completing it in time are beneficial for the students and the colleges’ reputation in educational institutes. In this paper, intelligent management of physical education curriculum is designed using a Web-based teaching assistant system. The multilayer designed system provides convenience for teachers and students of health and physical education. The data layer collects input data from users and transmits it to the storage layer after being compiled by the decoder. The layer uses memory to save the transmitted data and integrate the saved data into the expansion chip and transmit it to the transmission layer. The Web server at this layer outputs the transmitted data in the form of an HTML structure file through a CGI program and feeds back the output to the browser of the application layer. The man-machine interaction interface of the application layer uses a large-scale hierarchical information visualization method to show data on the browser to users. The experimental results show that the system has comprehensive functions, fast processing speed, and low energy consumption. It has a good page display effect, which is in line with the user’s visual cognition; the recall rate of curriculum scheduling data and curriculum selection data is always higher than 96%, and the data analysis ability is excellent. |
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ISSN: | 1574-017X 1875-905X |
DOI: | 10.1155/2021/2301411 |