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 the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recent studies have applied …

Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interaction sequences. With the advanced capability of capturing contextual …

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts
(KCs) as (s) he engages with a sequence of learning activities. Each student's knowledge is …

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) aims at tracing the evolution of the knowledge states along the
learning process of a learner. It has become a crucial task for online learning systems to …

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 …

Knowledge tracing (KT) models, eg, the deep knowledge tracing (DKT) model, track an
individual learner's acquisition of skills over time by examining the learner's performance on …

With the increasing demands of personalized learning, knowledge tracing has become
important which traces students' knowledge states based on their historical practices. Factor …

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