… 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 …

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

… 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 …

… 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 …

… 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 …

… [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 …

… ) enabled researchers to trace student knowledge in different skills and provide recommendations
for a better learning path. To estimate the student knowledge and further predict their …

… of existing DL-based knowledge tracing models and introduce some basics pertaining to
3D convolutions. In Section 3 we formally define the knowledge tracing problem. We describe …