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<p>Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has brought great benefits to schools and greatly improved their teaching capacity, it has also brought problems to equipment management. In traditional practical training room management, problems such as low equipment utilization, work efficiency, and teaching efficiency are encountered. Along with the development of Internet technology, real-time monitoring and intelligent management of practical training rooms are possible. This paper firstly thus proposes the logical level, management dimensions, and information interaction contents of the intelligent, practical training management system to establish the architecture of the intelligent, practical training management system, and thus leads to the key technologies and methods for the design and establishment of the intelligent, practical training management system. Secondly, starting from the analysis of the training process, the bottom physical environment is sorted out in detail. The four dimensions of equipment status, consumables status, energy consumption status and teaching status of the smart training management system are collected in the information. The smart training management system model is established to analyze the data in a single dimension and derive effective information to help managers manage collaboratively. Finally, the model’s effectiveness is verified by applying the smart training room management system in Z higher education institutions in Xiamen. The study of Xiamen Z higher vocational institution in this paper shows that the use of an intelligent teaching management system effectively improves performance by 34.12%, the affiliation and utility rate of an Bar and coffee training room is better than the traditional training platform, and the influence parameter on the learning process of Xiamen Z higher vocational institution is found to be 79.62 through classification, which provides effective decision for teachers to implement differentiated teaching. The intelligent teaching management system proposed in this paper realizes data visualization of the training room equipment, provides data support for teachers to set differentiated teaching programs, improves teaching efficiency, improves students’ practical training skills through data-based analysis of problems in students’ practical training, and provides motivation for talent training in universities.</p>
</abstract>

Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has brought great benefits to schools and greatly improved their teaching capacity, it has also brought problems to equipment management. In traditional practical training room management, problems such as low equipment utilization, work efficiency, and teaching efficiency are encountered. Along with the development of Internet technology, real-time monitoring and intelligent management of practical training rooms are possible. This paper firstly thus proposes the logical level, management dimensions, and information interaction contents of the intelligent, practical training management system to establish the architecture of the intelligent, practical training management system, and thus leads to the key technologies and methods for the design and establishment of the intelligent, practical training management system. Secondly, starting from the analysis of the training process, the bottom physical environment is sorted out in detail. The four dimensions of equipment status, consumables status, energy consumption status and teaching status of the smart training management system are collected in the information. The smart training management system model is established to analyze the data in a single dimension and derive effective information to help managers manage collaboratively. Finally, the model’s effectiveness is verified by applying the smart training room management system in Z higher education institutions in Xiamen. The study of Xiamen Z higher vocational institution in this paper shows that the use of an intelligent teaching management system effectively improves performance by 34.12%, the affiliation and utility rate of an Bar and coffee training room is better than the traditional training platform, and the influence parameter on the learning process of Xiamen Z higher vocational institution is found to be 79.62 through classification, which provides effective decision for teachers to implement differentiated teaching. The intelligent teaching management system proposed in this paper realizes data visualization of the training room equipment, provides data support for teachers to set differentiated teaching programs, improves teaching efficiency, improves students’ practical training skills through data-based analysis of problems in students’ practical training, and provides motivation for talent training in universities.

Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has...

Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet

Published Online: Jun 06, 2023

Page range: -

Received: Aug 22, 2022

Accepted: Dec 12, 2022

DOI: https://doi.org/10.2478/amns.2023.1.00363

Keywords
Internet, Intelligent management, Informatization, Collaborative management, Data visualization

© 2023 Yin Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet

Published Online: Jun 06, 2023

Page range: -

Received: Aug 22, 2022

Accepted: Dec 12, 2022

DOI: https://doi.org/10.2478/amns.2023.1.00363

KeywordsInternet, Intelligent management, Informatization, Collaborative management, Data visualization

© 2023 Yin Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Internet, Intelligent management, Informatization, Collaborative management, Data visualization