Research on Big Data-Driven High-Risk Students Prediction

Big data technology is used to integrate, clean up and analyze the data of student management system, educational administration system, and campus card consumption system and so on in this paper. The characteristics of high risk students are extracted and selected, and the prediction model is constructed, which can be used to predict the high risk students scientifically, reasonably and effectively, we can take care of these students and take effective measures to help them improve. The massive data accumulated in Colleges and universities can be effectively utilized by this study, managers have a more detailed understanding of colleges and universities and students, the teaching effect is improved, the risk of student drop-out is reduced. Therefore, this study has strong theoretical value and important practical value.