Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 19, 2025


Pages


DOI

Article

Strategies and Practical Exploration of Digital Transformation of Party Building Work in Higher Education Institutions

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Authors

Yuyao Wu Affiliation:
School of Health Medicine, Chongqing Youth Vocational & Technical College, Chongqing, 400712, China.


Abstract

The digital transformation of party building work has become a remarkable trend in the current construction of party building work in higher vocational colleges and universities. Under this trend, this article explores the digital transformation of party building work in higher vocational colleges. On the basis of the study on the enhancement path of digital transformation of party building work in higher vocational colleges, the article constructs a performance evaluation system of party building work in higher vocational colleges and further constructs a logistic regression model, and finally utilizes the data related to party building work in a higher vocational college to carry out empirical research and assessment of the contribution of indicators to the logistic regression model constructed in this paper. The results of the study show that in the analysis of the logistic regression model before the implementation of the strategy, the four indicators, namely, student organization construction indicators, system construction indicators, party members’ development and education indicators and propaganda demonstration indicators, have the greatest contribution, and the student organization construction indicators as a whole have the most prominent explanation for the output results of the model.


Keywords

Logistic regression model, Party building in higher vocational colleges, Assessment of indicator contribution, Digital transformation, 97B20


Citation

Wu, Y. (2025). Strategies and practical exploration of digital transformation of party building work in higher education institutions. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0468
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