Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

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Based on Student Learning Data Management Platform a Framework and Strategies of Ideological and Political Elements Discovering in Computer Algorithm Course

Authors
Yanhong Yang1, Bingjie Zhang2, Zhihong Dong3, *
1Department of Computer Science and Technology, Beijing Institute of Graphic Communication, Beijing, China
2School of Information Engineering, Beijing Institute of Graphic Communication, Beijing, China
3Department of Intelligence Science and Technology, Beijing Institute of Graphic Communication, Beijing, China
*Corresponding author. Email: dongzhihong@bigc.edu.cn
Corresponding Author
Zhihong Dong
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_36How to use a DOI?
Keywords
Learning Data management platform; Ideological and Political Education; Elements Discovering; Case Study
Abstract

In China’s teaching reform, the ministry of education requires strengthening ideological and political education and puts forward the integration of Ideological and Political Elements (IPE) education into all courses. With the help of the student learning data management platform, we can accurately obtain students’ learning feedback information, analyze it, and explore the content of students’ ideological and political content. In this paper, we first propose a framework for mining ideological and political elements and discuss some strategies. Secondly, based on our three-year curriculum reform and construction, taking the computer algorithm course as an example, this paper introduces a case study in detail with the whole statement of the teaching process. Through our questionnaire survey, most students are highly satisfied with the meticulously designed integration of Ideological and political elements which can promote their interests in learning professional courses.

Copyright
© 2022 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 Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_36
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_36How to use a DOI?
Copyright
© 2022 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

risenwbib
TY  - CONF
AU  - Yanhong Yang
AU  - Bingjie Zhang
AU  - Zhihong Dong
PY  - 2022
DA  - 2022/12/27
TI  - Based on Student Learning Data Management Platform a Framework and Strategies of Ideological and Political Elements Discovering in Computer Algorithm Course
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 272
EP  - 280
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_36
DO  - 10.2991/978-94-6463-044-2_36
ID  - Yang2022
ER  -