3 citations · 3 across the 3 of their papers we have counts for
3 papers
UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics
Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt +3
We introduce the Unified Neural Variational Measurement of Proficiency (UNVaMP) architecture, a knowledge tracing method that integrates observed student-item interactions with int…
Modeling the EdNet Dataset with Logistic Regression
Philip I. Pavlik, Luke G. Eglington
Many of these challenges are won by neural network models created by full-time artificial intelligence scientists. Due to this origin, they have a black-box character that makes th…
Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling
Philip I. Pavlik, Luke G. Eglington, Leigh M. Harrell-Williams
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for spec…