In the context of big data in education, how to use the massive data of colleges and
universities to better help students finish their studies on time and avoid the risk of not being …

Learning early warning is of great significance for coping with students' learning risks. The
existing research fails in modeling the fluctuation of students' learning states and providing …

The learning early-warning is an effective way to optimize the teaching effect and teach
students in accordance of their aptitude. At present, the learning early-warning faces low …

Student performance in higher education is related to many complicated factors and always
has uncertainty, so early warning of it is a very difficult issue. In this study, a systematic …

How to predict the students' learning trend, according to the current situation of students'
learning, is meaningful for the management of students' learning process. This paper …

With the continuous popularization of higher education, the academic problems of university
students are constantly emerging. Due to the lack of a systematic learning guidance system …

With the accelerating process of digitization and informatization in the field of education, the
application of data mining technology in the field of education has received more and more …

With ever-changing educational circumstances, teaching management methods are
constantly innovated. Especially, the teaching management practice has produced a large …

Since the popularization of information technology, the teaching mode of college courses
has been constantly innovated. The traditional offline course teaching mode is gradually …

The educational data mining technology could support teaching management and it has
received more and more attention. This paper focuses on the prediction problem of student …