Design and Application of Online Teaching Platform for Ideological and Political Education in Colleges and Universities Based on PHP
- DOI
- 10.2991/978-94-6463-238-5_10How to use a DOI?
- Keywords
- ideological and political education; teaching mode; AHP analytic hierarchy process; PHP; B/S architecture
- Abstract
The fundamental task of higher education is to cultivate people by virtue, among which virtue should be the primary task. College students’ thoughts are still in the development stage, and they need correct thoughts as guidance. Accordingly, this paper constructs an online teaching platform for ideological and political education in colleges and universities based on PHP. Linux is selected as the system development environment, PHP is used as the script language for platform development, and ThinkPHP framework is introduced to improve the system functions of the teaching platform. Finally, it uses qualitative and quantitative analytic hierarchy process (AHP) to calculate the practical results of ideological and political education, and uses functional linear regression model as the statistical basis of the practical data of ideological and political education to further optimize the teaching system of ideological and political education in colleges and universities.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jianzhen Yin PY - 2023 DA - 2023/09/26 TI - Design and Application of Online Teaching Platform for Ideological and Political Education in Colleges and Universities Based on PHP BT - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023) PB - Atlantis Press SP - 66 EP - 70 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-238-5_10 DO - 10.2991/978-94-6463-238-5_10 ID - Yin2023 ER -