Open AccessApplied logistic model to quantitative analysis of university student management
Author(s) -
Lina Li,
Long Qin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012056
Subject(s) - logistic regression , order (exchange) , computer science , variable (mathematics) , learning management , work (physics) , regression analysis , management system , variables , higher education , mode (computer interface) , china , mathematics education , medical education , engineering management , psychology , operations management , business , engineering , political science , mathematics , machine learning , medicine , finance , law , operating system , mechanical engineering , mathematical analysis
With China’s emphasis on education and the constantly reform of education system, the management of students has been constantly improved. Colleges and universities are the places to train higher talents. The management of students should follow the educational reform in order to optimize the management mode and improve the management system. Based on the idea of Logistic regression, this paper establishes the evaluation model of college students’ management work. In order to fully improve the accuracy of the model, students’ satisfaction with the management of dormitory, bathhouse, library, canteen and other places is taken as the independent variable, and the overall school management satisfaction is taken as the dependent variable. Through the comparison of Logistic regression prediction and actual survey results, the accuracy and practicability of the model are tested, which is of great reference significance to the management of college students.