An Empirical Study on Military-Political Integrated Reform of Math Courses based on “Four-in-One” Model
- DOI
- 10.2991/978-2-38476-475-4_30How to use a DOI?
- Keywords
- Curriculum Ideological and Political Education; Military Academies; Mathematics Teaching; Collaborative Education; Empirical
- Abstract
To meet new-era military education requirements of “educating for warfare and fostering virtue”, this paper develops an innovative “curriculum military-political” integrated teaching model to address disconnections in military academies’ math teaching. Guided by military needs, with ideological education as core and math knowledge as carrier, it builds a “four-in-one” collaborative faculty and a feature vector-based intelligent teaching system. A comparative experiment with 106 military academy students shows the experimental group significantly outperformed the control group in math scores (M=88.7, SD=5.4) and military math application (M=91.3, SD=4.9) (p<0.001), with Cohen’s d=1.10 and 1.85. This model effectively enhances students’ math literacy and military application ability, offering empirical support for curriculum ideological reform in military academies.
- Copyright
- © 2025 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 - Meili Zhang AU - Weili Liu PY - 2025 DA - 2025/11/11 TI - An Empirical Study on Military-Political Integrated Reform of Math Courses based on “Four-in-One” Model BT - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025) PB - Atlantis Press SP - 251 EP - 257 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-475-4_30 DO - 10.2991/978-2-38476-475-4_30 ID - Zhang2025 ER -