Construction and Application Analysis of Student Portraits in Undergraduate Colleges and Universities under the Background of Big Data
In recent years,big data technology has become increasingly mature,and undergraduate institutions generally use it to assist teaching.Therefore,student group portraits supported by big data technology have emerged in the public's vision.Some schools have constructed relatively sound student group portraits by constructing digital models,designing digital systems,and establishing warning mechanisms.They collect,store,integrate,and analyze relevant data of students,forming labeled student portraits,and applying them to talent cultivation such as ideological and political education and employment guidance.This not only simplifies the student education and management work of schools and teachers,but also improves students'self-discipline and self motivation abilities.
NETL
NSTL
万方数据
