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 …

Learning process-consistent knowledge tracing

S Shen, Q Liu, E Chen, Z Huang, W Huang… - Proceedings of the 27th …, 2021 - dl.acm.org
Knowledge tracing (KT), which aims to trace students' changing knowledge state during their
learning process, has improved students' learning efficiency in online learning systems …

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 …

Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis

W Gao, H Wang, Q Liu, F Wang, X Lin, L Yue… - Proceedings of the 46th …, 2023 - dl.acm.org
Cognitive diagnosis (CD) aims to reveal the proficiency of students on specific knowledge
concepts and traits of test exercises (eg, difficulty). It plays a critical role in intelligent …

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 …

Structure-based knowledge tracing: An influence propagation view

S Tong, Q Liu, W Huang, Z Hunag… - … conference on data …, 2020 - ieeexplore.ieee.org
Knowledge Tracing (KT) is a fundamental but challenging task in online education that
traces learners' evolving knowledge states. Much attention has been drawn to this area and …

A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W Xia, F Lin, P Wu, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

NeuralCD: a general framework for cognitive diagnosis

F Wang, Q Liu, E Chen, Z Huang, Y Yin… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Cognitive diagnosis is widely applicable in the scenarios where users' cognitive states need
to be assessed, such as games and clinical measurement. Especially in intelligent …

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 …