… In this paper we present a formulation that we call Deep Knowledge Tracing (DKT) in … ‘deep’
in time to the task of knowledge tracing. This family of models represents latent knowledge …

… of deep learning, we examine DKT alongside two well-studied models for knowledge …
We take steps to reproduce the experiments of Deep Knowledge Tracing by implementing a …

… of knowledge tracing, which aims to model the student’s state of mastery of conceptual or
procedural knowledge … model for knowledge tracing, Deep Knowledge Tracing with Dynamic …

… Compared with these two methods, we consider knowledge tracing in a deep learning setting,
and we systematically explore prerequisites. Another closely related research is constraint …

… Knowledge Tracing (BKT), Performance Factors Analysis (PFA), and more recently with
developments in deep learning, Deep Knowledge Tracing (… the knowledge components of the …

… over the mainstay of the field, Bayesian knowledge tracing or BKT. In this article, we attempt
… of deep learning. To answer the question posed in our title, knowledge tracing may be a do…

… It is a task to model students’ mastery level of a knowledge component (KC) based on their
… called deep knowledge tracing (DKT) has been proposed to handle the knowledge tracing …

… [125] proposed Extended-Deep Knowledge Tracing that extends DKT by adding auxiliary
student features such as previous knowledge, question answering rates and time spent on …

… Knowledge tracing (KT) models are … , knowledge components or concepts). One of the most
popular methods for tracking this cognitive development is the Bayesian Knowledge Tracing (…

… about student knowledge states and has great potentials to advance knowledge tracing.
Thus, in this paper, we exploit side relations to improve knowledge tracing and design a novel …