Humans' ability to transfer knowledge through teaching is one of the essential aspects for
human intelligence. A human teacher can track the knowledge of students to customize the …

The growth of online learning, enabled by the availability on the Internet of different forms of
didactic materials such as MOOCs and Intelligent Tutoring Systems (ITS), in turn, increases …

Abstract The goal of Knowledge Tracing (KT) is to estimate how well students have
mastered a concept based on their historical learning of related exercises. The benefit of …

Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …

Knowledge Tracing (KT) is a task of tracing evolving knowledge state of students with
respect to one or more concepts as they engage in a sequence of learning activities. One …

Abstract Knowledge tracing, where a machine models the knowledge of a student as they
interact with coursework, is an established and significantly unsolved problem in computer …

With the rapid development in online education, knowledge tracing (KT) has become a
fundamental problem which traces students' knowledge status and predicts their …

We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing
model that separately processes exercise information and student response information …

In this paper, we propose a novel Transformer-based model for knowledge tracing, SAINT: S
eparated Self-A ttent I ve N eural K nowledge T racing. SAINT has an encoder-decoder …