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

被引:0
作者
Wang Y. [1 ]
机构
[1] College of International Tourism, Xiamen City University, Fujian, Xiamen
关键词
Collaborative management; Data visualization; Informatization; Intelligent management; Internet;
D O I
10.2478/amns.2023.1.00363
中图分类号
学科分类号
摘要
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. © 2023 Yin Wang, published by Sciendo.
引用
收藏
相关论文
共 22 条
  • [11] Hourong L.I., Application and effect evaluation of remote ECG monitoring network system in regional medical center, Journal of Practical Electrocardiology, (2016)
  • [12] Tuncel M., Omur O., Kapulu C.D., Ugur O., Nuclear medicine techniques in the diagnosis and treatment of diseases of the musculoskeletal system, Musculoskeletal Research and Basic Science, pp. 213-255, (2016)
  • [13] Edstrom K., Kolmos A., PBL and CDIO: Complementary models for engineering education development, European Journal of Engineering Education, 39, 5, pp. 539-555, (2014)
  • [14] Afify M., E-learning content design standards based on interactive digital concept maps in light of meaningful learning theory and constructivist learning theory, JOTSE, 8, 1, pp. 5-16, (2018)
  • [15] Wang H., Dong L., Wei W., Et al., The WSN monitoring system for large outdoor advertising boards based on ZigBee and MEMS sensor, IEEE Sensors Journal, 18, 3, pp. 1314-1323, (2018)
  • [16] Papa J., Data Points: Data Bound Applications with ADO.NET and Custom Objects, MSDN Magazine, 10, 1, pp. 6-8, (2014)
  • [17] Brebner P., Gosper J., J2EE infrastructure scalability and throughput estimation, ACM SIGMETRICS Performance Evaluation Review, 31, 3, (2017)
  • [18] Delgado M.F., Esenarro D., Regalado F.F.J., Et al., Methodology based on the NIST cybersecurity framework as a proposal for cybersecurity management in government organizations, 3c TIC: Cuadernos de Desarrollo Aplicados A Las TIC, 10, 2, pp. 123-141, (2021)
  • [19] Roman R., Alcaraz C., Lopez J., Sklavos N., Key management systems for sensor networks in the context of the Internet of Things, Computers & Electrical Engineering, 37, 2, pp. 147-159, (2011)
  • [20] Cai-Hua P., Jian-You L., Research on Design of Digital Design Management System of Electron Linear Accelerator Based on JSP, Annual Report of China Institute of Atomic Energy, pp. 204-205, (2016)