With the development of artificial intelligence, personalized learning has attracted much
attention as an integral part of intelligent education. China, the United States, the European …

In online learning scenarios, the learners usually hope to find courses that meet their
preferences and the needs for their future developments. Thus, there is a great need to …

Abstract MOOCs (Massive Open Online Courses) offer tens of thousands of courses and
attract hundreds of millions of online learners. After years of development, these platforms …

Course recommendation technology plays a key role in online learning services. However,
there are still two key issues that remain unresolved in practice. First, it is difficult to …

For offering adaptive learning to learners in intelligent tutoring systems, one of the
fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states …

Student cognitive modeling is a fundamental task in the intelligence education field. It serves
as the basis for various downstream applications, such as student profiling, personalized …

In the MOOCs context, learners experience information overload. Thus, it is necessary to
improve personalized recommendation algorithms for learners. The current …

The main reason students drop out of online courses is often that they lose interest during
learning. Moreover, it is not easy for students to choose an appropriate course before …

Current course recommender systems primarily leverage learner-course interactions, course
content, learner preferences, and supplementary course details like instructor, institution …

As one of the fundamental tasks in the online learning platform, interactive course
recommendation (ICR) aims to maximize the long-term learning efficiency of each student …