Generation and Optimization of Ideological and Political Teaching Learning Route Based on Evolutionary Algorithm
- DOI
- 10.2991/978-94-6463-040-4_25How to use a DOI?
- Keywords
- Evolutionary algorithm; Ideological and political teaching; System early warning
- Abstract
Ideological and political education is an important knowledge point in China's higher education, which covers the whole process of higher education teaching, and is an important institutional carrier for universities to cultivate socialist successors. At present, great achievements have been made and there is a certain influence in the whole country. As a new educational concept, the learning path of ideological and political teaching based on evolutionary algorithm still needs long-term development and further research and verification. This paper mainly describes the generation and optimization of ideological and political teaching learning path based on evolutionary algorithm, aiming at speeding up the process of ideological and political education, expanding the influence of ideological and political education in China, constantly exploring in concrete practice, and constantly improving and making progress in the process., strive to build a comprehensive, multi-level, three-dimensional ideological and political education system.
- Copyright
- © 2023 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 - Yangguanqi Guo AU - Jialu Peng AU - Wenjin Zhu PY - 2022 DA - 2022/12/27 TI - Generation and Optimization of Ideological and Political Teaching Learning Route Based on Evolutionary Algorithm BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 166 EP - 172 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_25 DO - 10.2991/978-94-6463-040-4_25 ID - Guo2022 ER -