Reinforced explainable knowledge concept recommendation in MOOCs

L Jiang, K Liu, Y Wang, D Wang, P Wang… - ACM Transactions on …, 2023 - dl.acm.org
In this article, we study knowledge concept recommendation in Massive Open Online
Courses (MOOCs) in an explainable manner. Knowledge concepts, composing course units …

Which courses to choose? Recommending courses to groups of students in online tutoring platforms

L Jiang, Y Wang, S **e, J Wu, M Yin, J Wang - Applied Intelligence, 2023 - Springer
In the scope of this paper, we solve the course mismatch problem of recommending courses
to a group of students on online tutoring platforms. Traditional recommendation methods are …

Multi-view MOOC quality evaluation via information-aware graph representation learning

L Jiang, Y Wang, J Wang, P Wang, M Yin - Proceedings of the AAAI …, 2023 - ojs.aaai.org
In this paper, we study the problem of MOOC quality evaluation that is essential for
improving the course materials, promoting students' learning efficiency, and benefiting user …

Personalized Programming Guidance Based on Deep Programming Learning Style Capturing

Y Liu, R Zhu, M Gao - International Conference on Computer Science and …, 2023 - Springer
With the rapid development of big data and AI technology, programming is in high demand
and has become an essential skill for students. Meanwhile, researchers also focus on …