Knowledge tracing: A survey
G Abdelrahman, Q Wang, B Nunes - ACM Computing Surveys, 2023 - dl.acm.org
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 …
human intelligence. A human teacher can track the knowledge of students to customize the …
Bi-CLKT: Bi-graph contrastive learning based knowledge tracing
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 …
mastered a concept based on their historical learning of related exercises. The benefit of …
A survey on deep learning based knowledge tracing
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 …
online education that seeks to assess students' mastery of a concept based on their …
A survey of knowledge tracing
High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …
to traditional face-to-face classroom education, online education enables us to record and …
Contrastive learning for knowledge tracing
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 …
by estimating whether to solve the next question correctly or not. Most deep learning-based …
Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations
Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …
performance by observing their historical learning processes. Due to the powerful …
SGKT: Session graph-based knowledge tracing for student performance prediction
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 …
knowledge tracing (DKT) model uses long short-term memory (LSTM) to process the …
Assessing student's dynamic knowledge state by exploring the question difficulty effect
Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …
practicing on various questions, is a fundamental research task for offering intelligent …
pyKT: a python library to benchmark deep learning based knowledge tracing models
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 …
data to model their knowledge mastery over time so as to make predictions on their future …
Tracing knowledge state with individual cognition and acquisition estimation
Knowledge tracing, which dynamically estimates students' learning states by predicting their
performance on answering questions, is an essential task in online education. One typical …
performance on answering questions, is an essential task in online education. One typical …