A self-attentive model for knowledge tracing

S Pandey, G Karypis - arXiv preprint arXiv:1907.06837, 2019 - arxiv.org
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 …

Addressing two problems in deep knowledge tracing via prediction-consistent regularization

CK Yeung, DY Yeung - Proceedings of the fifth annual ACM conference …, 2018 - dl.acm.org
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 with sequential key-value memory networks

G Abdelrahman, Q Wang - Proceedings of the 42nd international ACM …, 2019 - dl.acm.org
Can machines trace human knowledge like humans? Knowledge tracing (KT) is a
fundamental task in a wide range of applications in education, such as massive open online …

Dynamic key-value memory networks for knowledge tracing

J Zhang, X Shi, I King, DY Yeung - Proceedings of the 26th international …, 2017 - dl.acm.org
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 …

Context-aware attentive knowledge tracing

A Ghosh, N Heffernan, AS Lan - Proceedings of the 26th ACM SIGKDD …, 2020 - dl.acm.org
Knowledge tracing (KT) refers to the problem of predicting future learner performance given
their past performance in educational applications. Recent developments in KT using …

Convolutional knowledge tracing: Modeling individualization in student learning process

S Shen, Q Liu, E Chen, H Wu, Z Huang… - Proceedings of the 43rd …, 2020 - dl.acm.org
With the development of online education systems, a growing number of research works are
focusing on Knowledge Tracing (KT), which aims to assess students' changing knowledge …

Enhancing deep knowledge tracing with auxiliary tasks

Z Liu, Q Liu, J Chen, S Huang, B Gao, W Luo… - Proceedings of the ACM …, 2023 - dl.acm.org
Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interactions with intelligent tutoring systems. Recent studies have applied …

Towards robust knowledge tracing models via k-sparse attention

S Huang, Z Liu, X Zhao, W Luo, J Weng - Proceedings of the 46th …, 2023 - dl.acm.org
Knowledge tracing (KT) is the problem of predicting students' future performance based on
their historical interaction sequences. With the advanced capability of capturing contextual …

Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information

Z Liu, Q Liu, T Guo, J Chen, S Huang… - Advances in …, 2024 - proceedings.neurips.cc
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 …

Tracing knowledge instead of patterns: Stable knowledge tracing with diagnostic transformer

Y Yin, L Dai, Z Huang, S Shen, F Wang, Q Liu… - Proceedings of the …, 2023 - dl.acm.org
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 …