Analysis of effective integration of information platform courses and daily teaching in universities based on adaptive network
Data publikacji: 17 paź 2023
Otrzymano: 14 gru 2022
Przyjęty: 27 kwi 2023
DOI: https://doi.org/10.2478/amns.2023.2.00683
Słowa kluczowe
© 2023 Jing Ma, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This paper first analyzes the effective application of web platforms and information technology in college teaching and constructs a web-based teaching aid platform for college courses based on the open Web. Secondly, the A3C algorithm is used to implement adaptive coding decisions to improve the performance of the platform by adaptive network coding. Finally, the performance test analysis is conducted for the web teaching aid platform built in this paper. The results show that the average response time of the system using the communication function with 2000 concurrent users is 1.807s, and the CPU and memory usage are 1146MHz and 1486MB, respectively, after running for 25s. This shows that adaptive network coding can effectively improve the performance of the supplementary teaching platform.