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 …

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 …

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

Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …

Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …

Knowledge tracing is the task of understanding student's knowledge acquisition processes
by estimating whether to solve the next question correctly or not. Most deep learning-based …

Abstract Knowledge tracing (KT) is the task of using students' historical learning interaction
data to model their knowledge mastery over time so as to make predictions on their future …

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 …

Personalized education, tailored to individual student needs, leverages educational
technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness …