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 …

Currently, learning early warning mainly uses two methods, student classification and
performance regression, both of which have some shortcomings. The granularity of student …

Early Warning Systems (EWSs) are being developed and used more frequently to aggregate
multiple sources of data and provide timely information to stakeholders about students in …

In higher education, providing personalized feedback and support to students is a significant
challenge. Early warning systems can help by identifying both at-risk and high-performing …

With the rise and development of big data technology, data mining has been applied to
various education fields. Particularly, the use of data mining to predict students' academic …

In order to solve the problem of early warning of college students' achievement, this paper
proposes two improved algorithms for data pre-processing and mining warning factor. At first …

The advancement of technology has greatly promoted education. And with the
popularization of information technology construction in higher education institutions, the …

With the rapid development of information technology, the development of information
technology has become the main focus of national development, and the informationization …

The prevalence of early alert systems (EAS) at tertiary institutions is increasing. These
systems are designed to assist with targeted student support in order to improve student …

For the current college education, teaching professional learning skills needs to be modified.
The current education adheres to the concept of paying equal attention to students …