Construction and Practice of The Talent Training Model of "Focusing on Teaching, Strengthening Practice, And Promoting Innovation" in The Integration of Ideological and Political Theory and Mathematical Statistics Courses

Xiaobo Wen

doi:10.6918/IJOSSER.202506_8(6).0038

Authors

Xiaobo Wen

DOI:

https://doi.org/10.6918/IJOSSER.202506_8(6).0038

Keywords:

Course ideological and political education; multi-in-one teaching; five-level practice; four-dimensional innovation; talent training model.

Abstract

This teaching reform is centered on serving the country's major strategic needs and the six advantageous industries and artificial intelligence industries in Sichuan Province. It takes the integration of "teaching, practice, and innovation" as the main line, and takes "practical ability precedes knowledge" as the core concept, aims at first-class undergraduate courses and advanced course construction, supports the knowledge of probability theory and mathematical statistics, guided by ideological and political integration, and takes the teaching form of "multi-in-one teaching, five-layer practice, and four-dimensional innovation", forming a curriculum talent training model innovation and practice system that "thick teaching, strengthen practice, and promote innovation".

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References

[1] Chen Aiting. Teaching research on probability theory and mathematical statistics in the context of the big data era [J]. Journal of Chifeng College (Natural Science Edition), 2018, 34(10):144-146.

[2] Wang Ning, Sun Xiaoling. Design and implementation of experimental teaching cases of probability theory and mathematical statistics [J]. Journal of Hefei Normal University, 2014, 32(3):69-72.

[3] Chen Rui, Li Guiping. Intuitive teaching from a cultural perspective: Research on teaching innovation in probability theory and mathematical statistics courses [J]. Journal of Chuxiong Normal University, 2024, 39 (3): 142-149.

[4] Guo Liangdong, Martial Soldier. Research and practice of the reform of curriculum teaching in the era of big data [J]. Education and Teaching Forum, 2018(16):272-273.

[5] Zhang Suhua, Chen Ping, Zhan Huan. Practice of hybrid teaching process of "Probability Theory and Mathematical Statistics" in the context of the "Internet+" era [J]. Information Systems Engineering, 2021(5):169-170.

[6] Meng Ke, Zhao Zhong. Research on the hybrid teaching model of probability theory and mathematical statistics in the context of the information age [J]. Science and Technology Vision, 2021(34):112-113.

[7] Sna. Research on the application of SPSS software in the course teaching of "Probability Theory and Mathematical Statistics" [J]. Journal of Lanzhou University of Arts and Sciences (Natural Science Edition), 2012, 26(6):105-107.

[8] Yang Guan. Case design of MATLAB in the course of probability theory and mathematical statistics[J]. Journal of Southwest Forestry University (Social Science Edition), 2018, 2(1):93-96.

[9] Zhao Xiuju. Construction of "Golden Course" in Probability Theory and Mathematical Statistics and Teaching Reform—Exploration and Practice of Online and Offline Mixed Teaching Models [J]. Science and Technology Vision, 2021(25):85-86.

[10] Xu Er, Zhao Lutao, Li Na, Zhang Zhigang, Fan Yumei. Construction of "Golden Courses" and teaching reform of probability theory and mathematical statistics - Exploration and practice of a hybrid teaching model based on MOOC [J]. Higher Science Education, 2020(2):116-123.

[11] Song Chao, Liu Jianxin. Research on the school-based mixed teaching practice of probability theory and mathematical statistics under the concept of "less teaching and more learning" [J]. Journal of Higher Teaching, 2024(24):44-47+52.

[12] Tian Donghong, Li Lingna, Xie Xiangjun. Teaching reform and practice of mathematics courses under the background of first-class professional construction—taking "Probability Theory and Mathematical Statistics" as an example [J]. Education and Teaching Forum, 2023(39):57-60.

[13] Zhang Lijing, Zhao Lutao, Li Na. Ideological and political construction and practice of probability theory and mathematical statistics courses based on dialectics of materialism [J]. University Mathematics, 2022, 38(2): 116-123.