Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

Generation and Optimization of Ideological and Political Teaching Learning Route Based on Evolutionary Algorithm

Authors
Yangguanqi Guo1, *, Jialu Peng1, *, Wenjin Zhu1, *
1Jiangxi Tourism & Commerce Vocational College, Nanchang, 332000, Jiangxi, China
*Corresponding author. Email: gyx010307@126.com
*Corresponding author. Email: zhc010306@163.com
*Corresponding author. Email: zhc010306@163.com
Corresponding Authors
Yangguanqi Guo, Jialu Peng, Wenjin Zhu
Available Online 27 December 2022.
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.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_25How to use a DOI?
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  -