Abstract Knowledge Tracing (KT) aims to trace the student's state of evolutionary mastery for
a particular knowledge or concept based on the student's historical learning interactions with …

Abstract Knowledge tracing (KT) has evolved into a crucial component of the online
education system with the rapid development of online adaptive learning. A key component …

With the emergence of intelligent educational systems, numerous research works are
dedicated to Knowledge Tracing (KT), which refers to the issue of diagnosing students' …

Abstract Knowledge tracing is a modeling method of students' knowledge mastery. The deep
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …

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 a task that predicts students' future performance based
on their historical learning interactions. With the rapid development of deep learning …

Deep recurrent neural networks have been successfully applied to knowledge tracing,
namely, deep knowledge tracing (DKT), which aims to automatically trace students' …

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 …

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

Tracing a student's knowledge is vital for tailoring the learning experience. Recent
knowledge tracing methods tend to respond to these challenges by modelling knowledge …