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Knowledge tracing (KT), aiming to mine students' mastery of knowledge by their exercise records and predict their performance on future test questions, is a critical task in educational assessment.
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Ekt: Exercise-aware knowledge tracing for student performance prediction
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Graph-based knowledge tracing: modeling student proficiency using graph neural network
Nakagawa, H., Y. Iwasawa, Y. Matsuo · 2019
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A self-attentive model for knowledge tracing
Pandey, S., G. Karypis · 2019
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Context-aware attentive knowledge tracing
Ghosh, A., N. Heffernan, A. S. Lan · 2020
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Towards an appropriate query, key, and value computation for knowledge tracing
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Rkt: relation-aware self-attention for knowledge tracing
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Structure-based knowledge tracing: An influence propagation view
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Stable knowledge tracing using causal inference
Zhu, J., X. Ma, C. Huang · 2023
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Learning behavior-oriented knowledge tracing
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Glm: General language model pretraining with autoregressive blank infilling
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Improving knowledge tracing with collaborative information
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Interpretable knowledge tracing: Simple and efficient student modeling with causal relations
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Open-ended knowledge tracing for computer science education
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Emergent abilities of large language models
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Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
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Adapting large language models for education: Foundational capabilities, potentials, and challenges
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Moocradar: A fine-grained and multi-aspect knowledge repository for improving cognitive student modeling in moocs
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A review of data mining in personalized education: Current trends and future prospects
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Automated feedback for student math responses based on multi-modality and fine-tuning
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Towards modeling learner performance with large language models
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Xes3g5m: A knowledge tracing benchmark dataset with auxiliary information
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