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January 1, 2026International Journal of Information and Communication TechnologyOpen Access

Knowledge tracing in mathematical problem-solving processes: a spatio-temporal graph neural network approach

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Key Points

This research focuses on enhancing knowledge tracing in mathematical problem-solving processes.
Utilized a spatio-temporal graph neural network approach.
Analyzed mathematical problem-solving processes using the proposed model.
Evaluated the accuracy of knowledge tracing in this context.
Knowledge tracing accuracy improved with the use of spatio-temporal graph neural networks.
Findings indicate a strong relationship between graph structures and problem-solving effectiveness.

Implication

Research demonstrates improved knowledge tracing in mathematics, suggesting neural networks enhance problem-solving accuracy.

Abstract

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Cite This Study

Xia Li (2026) studied this question.

synapsesocial.com/papers/699ba09772792ae9fd870734 https://doi.org/10.1504/ijict.2026.10076456

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