A study on the synergistic development strategy of higher vocational student management and ideological and political education based on discrete choice regression model

Abstract

The feature quantity of higher education student management data is calculated, and the feature extraction is carried out to obtain the feature solution vector. The feature quantity of higher education student management data is calculated and extracted to obtain the feature solution vector. The design of the higher education student management data system is achieved by carrying out network design and association feature detection. Finally, the effectiveness of the education management system was verified, and the teaching feedback results reached the highest value of 95% of the results; the average level of ideological and moral quality was also 8.83, and the average level of independent learning ability even reached 10.19. It indicates that it significantly impacts students’ comprehensive strength and can lead to the synergistic development of management and education.

Keywords

• discrete choice regression
• utility function
• higher education student management
• feature extraction
• self-directed learning
• 97q70