The Innovation Research of College Students’ Academic Early-Warning Mechanism Under the Background of Big Data

Abstract

With China’s higher education from “elite education” to “mass education”, students’ academic problems have become increasingly serious. In the big data era, building college students’ academic early-warning mechanism is of great significance for the training of qualified college students and improving the quality of higher education to keep pace with the times. However, in recently, the college students’ research of academic early-warning mechanism based on the big data is relatively rare. This paper introduces the current research status of academic early-warning mechanism and the background of big data, and summarizes the characteristics of big data. Then it expounds the impact of big data thinking on the traditional academic early-warning mechanism about the four aspects: decision-making, forecasting, service and evaluation. This article focuses on putting forward an innovation model of academic early-warning mechanism concerning the information collection system, information processing and analysis system, program-making system and information release system based on big data, which will guide the practice of big data in the field of college students’ academic early-warning.