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 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 …

[HTML][HTML] A systematic literature review of reinforcement learning-based knowledge graph research

Z Tang, T Li, D Wu, J Liu, Z Yang - Expert Systems with Applications, 2024 - Elsevier
Abstract Knowledge graphs (KGs) model entities or concepts and their relations in a
structural manner. The incompleteness has turned out to be the main challenge that hinders …

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 …

Ednet: A large-scale hierarchical dataset in education

Y Choi, Y Lee, D Shin, J Cho, S Park, S Lee… - Artificial Intelligence in …, 2020 - Springer
Abstract Advances in Artificial Intelligence in Education (AIEd) and the ever-growing scale of
Interactive Educational Systems (IESs) have led to the rise of data-driven approaches for …

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 …

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 …

Simulating classroom education with llm-empowered agents

Z Zhang, D Zhang-Li, J Yu, L Gong, J Zhou… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have been employed in various intelligent educational tasks
to assist teaching. While preliminary explorations have focused on independent LLM …

Educational data mining techniques for student performance prediction: method review and comparison analysis

Y Zhang, Y Yun, R An, J Cui, H Dai… - Frontiers in psychology, 2021 - frontiersin.org
Student performance prediction (SPP) aims to evaluate the grade that a student will reach
before enrolling in a course or taking an exam. This prediction problem is a kernel task …

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 …