8 citations · 10 across the 5 of their papers we have counts for
5 papers
Transition-Aware Multi-Activity Knowledge Tracing
Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
Accurate modeling of student knowledge is essential for large-scale online learning systems that are increasingly used for student training. Knowledge tracing aims to model student…
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization
Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao +2
Knowledge Tracing (KT), which aims to model student knowledge level and predict their performance, is one of the most important applications of user modeling. Modern KT approaches…
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs
Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi +1
Hawkes processes have been shown to be efficient in modeling bursty sequences in a variety of applications, such as finance and social network activity analysis. Traditionally, the…
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi +1
Student procrastination and cramming for deadlines are major challenges in online learning environments, with negative educational and well-being side effects. Modeling student act…
Modeling Knowledge Acquisition from Multiple Learning Resource Types
Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi
Students acquire knowledge as they interact with a variety of learning materials, such as video lectures, problems, and discussions. Modeling student knowledge at each point during…