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

Knowledge tracing (KT) refers to the problem of predicting future learner performance given
their past performance in educational applications. Recent developments in KT using …

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 …

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

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 …

Knowledge tracing is one of the key research areas for empowering personalized education.
It is a task to model students' mastery level of a knowledge component (KC) based on their …

Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recent studies have applied …