activity
20202023
most citedModeling Knowledge Acquisition from Multiple Learning Resource Types

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2023

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…

cs.CY2022

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…

cs.LG2022

Block-Structured Optimization for Subgraph Detection in Interdependent Networks

Fei Jie, Chunpai Wang, Feng Chen +2

We propose a generalized framework for block-structured nonconvex optimization, which can be applied to structured subgraph detection in interdependent networks, such as multi-laye…

stat.ME2022

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs

Chunpai Wang, Daniel B. Neill, Feng Chen

We propose a new approach, the calibrated nonparametric scan statistic (CNSS), for more accurate detection of anomalous patterns in large-scale, real-world graphs. Scan statistics…

cs.HC2020★ 8 cited

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…