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

Analyze The Intelligent Information Processing Model of Ideological and Political Teaching Material Management System in "Three-Stage Gradual" Teaching

Authors
Guolan Liu1, *, Siyu Cai1, Li Zhang1, Sujuan Hu1
1Jiangxi Tourism & Commerce Vocational College, Nanchang, 330100, Jiangxi, China
*Corresponding author. Email: qwe1570414@163.com
Corresponding Author
Guolan Liu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_148How to use a DOI?
Keywords
three-stage progressive model; Teaching; Material management system; Analysis and design; data processing
Abstract

Analyze the intelligent information processing model of ideological and political teaching material management system is a new teaching structure. Through the ingenious combination of theoretical model and intelligent system, the teaching effect of Ideological and political education has been developed with high quality, and the learning effect has been further enhanced. This paper is based on the analysis and research of the design of the ideological and political teaching material management system in the three-stage progressive teaching, and further analyzes the actual utility of the three-stage progressive teaching and the ideological and political teaching material management system and the model structure of the ideological and political teaching material management system. The mutual sharing and integration of the two makes the management system can effectively improve the course quality and help students further absorb knowledge quickly. In the teaching process of professional courses, modern technology is integrated into the professional supplement, so the corresponding ideological and political teaching material management system is designed. The management system has complete functions, is simple and easy to operate, and can meet the actual teaching needs of Ideological and political teaching. Therefore, this paper mainly verifies the material display, intelligent material management, intelligent material storage, intelligent material extraction and analysis in the ideological and political teaching material management system, which can help users master the operation structure of the ideological and political teaching material management system and complete the ideological and political teaching work more efficiently, quickly and efficiently.

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_148How 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  - Guolan Liu
AU  - Siyu Cai
AU  - Li Zhang
AU  - Sujuan Hu
PY  - 2022
DA  - 2022/12/27
TI  - Analyze The Intelligent Information Processing Model of Ideological and Political Teaching Material Management System in "Three-Stage Gradual" Teaching
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 981
EP  - 986
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_148
DO  - 10.2991/978-94-6463-040-4_148
ID  - Liu2022
ER  -