15 citations · 19 across the 4 of their papers we have counts for
4 papers
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang, Yongxiang Tang, Jinxin Hu +1
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampe…
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing
Moyu Zhang, Xinning Zhu, Chunhong Zhang +3
The Knowledge Tracing (KT) task plays a crucial role in personalized learning, and its purpose is to predict student responses based on their historical practice behavior sequence.…
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths
Moyu Zhang, Xinning Zhu, Chunhong Zhang +3
Knowledge tracing (KT) aims to predict students' responses to practices based on their historical question-answering behaviors. However, most current KT methods focus on improving…
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts
Moyu Zhang, Xinning Zhu, Chunhong Zhang +3
As the core of the Knowledge Tracking (KT) task, assessing students' dynamic mastery of knowledge concepts is crucial for both offline teaching and online educational applications.…