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 …

AI-based personalized e-learning systems: Issues, challenges, and solutions

M Murtaza, Y Ahmed, JA Shamsi, F Sherwani… - IEEE …, 2022 - ieeexplore.ieee.org
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

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 …

RCD: Relation map driven cognitive diagnosis for intelligent education systems

W Gao, Q Liu, Z Huang, Y Yin, H Bi, MC Wang… - Proceedings of the 44th …, 2021 - dl.acm.org
Cognitive diagnosis (CD) is a fundamental issue in intelligent educational settings, which
aims to discover the mastery levels of students on different knowledge concepts. In general …

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 …

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 …

Proactive and reactive engagement of artificial intelligence methods for education: a review

S Mallik, A Gangopadhyay - Frontiers in artificial intelligence, 2023 - frontiersin.org
The education sector has benefited enormously through integrating digital technology driven
tools and platforms. In recent years, artificial intelligence based methods are being …

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 …

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 …