77 citations · 77 across the 1 of their papers we have counts for
3 papers
cs.LG2019★ 77 cited
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Chun-Kit Yeung
Deep learning based knowledge tracing model has been shown to outperform traditional knowledge tracing model without the need for human-engineered features, yet its parameters and…
cs.CY2018
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction
Chun-kit Yeung, Zizheng Lin, Kai Yang +1
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the ed…
cs.AI2018
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Chun-Kit Yeung, Dit-Yan Yeung
Knowledge tracing is one of the key research areas for empowering personalized education. It is a task to model students' mastery level of a knowledge component (KC) based on their…