Accurate Education Strategy Based on Portraits of"Difficult"Students in Higher Vocational Colleges in Post-poverty Alleviation Era
China has completed the goal and task of poverty alleviation in the new era,and has entered a five-year transition period.In the post-poverty era,the help for"difficult"students is still the main content of ideological education in colleges and universities.In the post-poverty era,colleges and universities need to pay more attention to providing personalized growth guidance fo"difficult"students.Taking JSCK higher vocational colleges as an example,this study collects multidimensional data through the school's big data platform,and uses logistic regression algorithm,decision tree algorithm and other classification algorithms of big data mining technology to conduct portrait research on"difficult"student groups,and analyzes the problems faced by"difficult"student groups in the post-poverty alleviation era.From the aspects of psychological support,labor education and building excellent ability development system,this paper puts forward the practical path of precise education in the post-poverty era,in order to improve the effect of education and better serve its growth and all-round development.
students with difficultiesstudent portraitprecise education
NETL
NSTL
万方数据
