A comprehensive survey on deep learning techniques in educational data mining

Y Lin, H Chen, W **a, F Lin, Z Wang, Y Liu - 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 …

MLC-DKT: A multi-layer context-aware deep knowledge tracing model

S Zhang, J Pu, J Cui, S Shen, W Chen, K Hu… - Knowledge-Based …, 2024 - Elsevier
As a fundamental research task for intelligent education, knowledge tracing (KT) aims to
trace learners' dynamic knowledge states and predict their future performance based on …

csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention

Y Bai, X Li, Z Liu, Y Huang, T Guo, M Hou, F **a… - Expert Systems with …, 2025 - Elsevier
Abstract Knowledge tracing (KT) is the task of predicting students' future performances
based on their past interactions in online learning systems. When new students enter the …

Pull together: Option-weighting-enhanced mixture-of-experts knowledge tracing

T Huang, X Ou, H Yang, S Hu, J Geng, Z Xu… - Expert Systems with …, 2024 - Elsevier
Educators dynamically adjust their teaching strategies by tracing the development of
students' knowledge states. Knowledge Tracing (KT) plays a role similar to that of educators …

An adaptive deep multi-task learning approach for citywide travel time collaborative estimation

K Tang, S Chen, T Guo, Y Ma, AJ Khattak - Expert Systems with …, 2024 - Elsevier
The provision of accurate travel time information holds paramount significance for optimizing
traffic operations and management. However, existing approaches typically address multiple …

MAHKT: Knowledge tracing with multi-association heterogeneous graph embedding based on knowledge transfer

H Yang, J Hu, J Chen, S Hu, J Geng, Q Zhu… - Knowledge-Based …, 2025 - Elsevier
Abstract Knowledge Tracing (KT) is crucial in online education for tracing learners
knowledge states and improving learning outcomes. However, existing graph-based KT …

Remembering is Not Applying: Interpretable Knowledge Tracing for Problem-solving Processes

T Huang, X Ou, H Yang, S Hu, J Geng, J Hu… - Proceedings of the 32nd …, 2024 - dl.acm.org
Knowledge Tracing (KT) is a critical service in distance education, predicting students' future
performance based on their responses to learning resources. The reasonable assessment …

DKVMN-KAPS: Dynamic Key-Value Memory Networks Knowledge Tracing with Students' Knowledge-Absorption Ability and Problem-Solving Ability

W Zhang, Z Gong, P Luo, Z Li - IEEE Access, 2024 - ieeexplore.ieee.org
Knowledge tracing aims to predict students' future question-answering performance based
on their historical question-answering records, but the current mainstream knowledge …

Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process

S Wang, X Zhang, K Wang, X Yang, X Zhang - arxiv preprint arxiv …, 2024 - arxiv.org
The Knowledge Tracing (KT) task focuses on predicting a learner's future performance
based on the historical interactions. The knowledge state plays a key role in learning …

A Confusion-Enhanced Deep Learning Model for Knowledge Tracing

M Yin, R Huang - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
Knowledge tracing (KT) refers to the task of tracing the changing knowledge state of learners
and predicting their future performance through their learning records. It is the core of …