2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 1 cited
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
Chaoran Cui, Hebo Ma, Chen Zhang +4
Knowledge tracing (KT) aims to monitor students' evolving knowledge states through their learning interactions with concept-related questions, and can be indirectly evaluated by pr…
cs.AI2022★ 2 cited
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
Chaoran Cui, Yumo Yao, Chunyun Zhang +5
Knowledge tracing aims to trace students' evolving knowledge states by predicting their future performance on concept-related exercises. Recently, some graph-based models have been…