Research on Academic Early Warning for Vocational College Students in the Context of Big Data
In higher vocational colleges,students face various academic risks,including poor grades,low participation in learning,and mental health problems.This paper analyzes the role of big data in identifying and preventing these risks,especially its advantages in comprehensive data analysis,personalized warning,real-time monitoring and feedback,and promoting data-driven decision-making.Strategies have been proposed to improve the efficiency and effectiveness of academic warning,including establishing a comprehensive data analysis system,implementing personalized warning and intervention,enhancing the ability of teachers to apply data,and constructing a diverse collaborative network,in order to help vocational colleges more effectively manage student academic risks and improve their academic performance.
big datahigher vocational collegesstudent academic warning
NETL
NSTL
万方数据
