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 …

Bi-CLKT: Bi-graph contrastive learning based knowledge tracing

X Song, J Li, Q Lei, W Zhao, Y Chen, A Mian - Knowledge-Based Systems, 2022 - Elsevier
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 …

A survey on deep learning based knowledge tracing

X Song, J Li, T Cai, S Yang, T Yang, C Liu - Knowledge-Based Systems, 2022 - Elsevier
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 …

A survey of knowledge tracing

Q Liu, S Shen, Z Huang, E Chen, Y Zheng - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

Contrastive learning for knowledge tracing

W Lee, J Chun, Y Lee, K Park, S Park - Proceedings of the ACM Web …, 2022 - dl.acm.org
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 …

Improving interpretability of deep sequential knowledge tracing models with question-centric cognitive representations

J Chen, Z Liu, S Huang, Q Liu, W Luo - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Abstract Knowledge tracing (KT) is a crucial technique to predict students' future
performance by observing their historical learning processes. Due to the powerful …

SGKT: Session graph-based knowledge tracing for student performance prediction

Z Wu, L Huang, Q Huang, C Huang, Y Tang - Expert Systems with …, 2022 - Elsevier
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 …

Assessing student's dynamic knowledge state by exploring the question difficulty effect

S Shen, Z Huang, Q Liu, Y Su, S Wang… - Proceedings of the 45th …, 2022 - dl.acm.org
Knowledge Tracing (KT), which aims to assess students' dynamic knowledge states when
practicing on various questions, is a fundamental research task for offering intelligent …

pyKT: a python library to benchmark deep learning based knowledge tracing models

Z Liu, Q Liu, J Chen, S Huang… - Advances in Neural …, 2022 - proceedings.neurips.cc
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 …

Tracing knowledge state with individual cognition and acquisition estimation

T Long, Y Liu, J Shen, W Zhang, Y Yu - Proceedings of the 44th …, 2021 - dl.acm.org
Knowledge tracing, which dynamically estimates students' learning states by predicting their
performance on answering questions, is an essential task in online education. One typical …