A comprehensive survey on deep learning techniques in educational data mining
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 …
the power of computational techniques to analyze educational data. With the increasing …
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
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 …
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 …
students' knowledge states. Knowledge Tracing (KT) plays a role similar to that of educators …
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 …
trace learners' dynamic knowledge states and predict their future performance based on …
An adaptive deep multi-task learning approach for citywide travel time collaborative estimation
The provision of accurate travel time information holds paramount significance for optimizing
traffic operations and management. However, existing approaches typically address multiple …
traffic operations and management. However, existing approaches typically address multiple …
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 …
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 …
on their historical question-answering records, but the current mainstream knowledge …
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 …
and predicting their future performance through their learning records. It is the core of …
Deep Knowledge Tracing Guided by Cognitive Diagnosis Theory
Z Jiang, Q Tan, P Yang - Available at SSRN 4806465 - papers.ssrn.com
Abstract Knowledge Tracing is an emerging and vital research topic in the field of online
education data mining. Its primary objective is to trace learners' changing knowledge states …
education data mining. Its primary objective is to trace learners' changing knowledge states …