In online learning, students' learning data such as time and logs are commonly used to
predict the student's learning performance. In a hybrid context, learning activities occur both …

With the wide application of information technologies such as big data, the Internet of
Things, and cloud computing, college students have accumulated a large amount of …

With the development of the Internet and the informatization construction of universities, the
massive data accumulated by “campus big data” presents problems such as discreteness …

Learning early-warning is of great importance to many educational domains, such as
adaptive learning and personalized teaching, and has drawn numerous research attention …

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

Learning early-warning is one of the important ways to realize adaptive learning. Aiming at
the problem of too large prediction granularity in learning early-warning, we divide student's …

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 …

Organizing groups is a critical process in implementing cooperative learning. The grouping
strategy based on the degree of complementarity is a popular grouping strategy at present …