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 …

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 …

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 …

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 …

Enhancing knowledge tracing via adversarial training

X Guo, Z Huang, J Gao, M Shang, M Shu… - Proceedings of the 29th …, 2021 - dl.acm.org
We study the problem of knowledge tracing (KT) where the goal is to trace the students'
knowledge mastery over time so as to make predictions on their future performance. Owing …

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 …

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 …

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 …

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 …

pybkt: An accessible python library of bayesian knowledge tracing models

A Badrinath, F Wang, Z Pardos - arXiv preprint arXiv:2105.00385, 2021 - arxiv.org
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a
hallmark of adaptive learning research and an integral component of deployed intelligent …