A neural knowledge tracing model with a KL penalty on latent dynamics matches or beats strong baselines on most datasets and provides interpretable skill-level proficiency estimates.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
A neural knowledge tracing model with a KL penalty on latent dynamics matches or beats strong baselines on most datasets and provides interpretable skill-level proficiency estimates.