SOTAVerified

Knowledge Tracing

Knowledge Tracing is the task of modelling student knowledge over time so that we can accurately predict how students will perform on future interactions. Improvement on this task means that resources can be suggested to students based on their individual needs, and content which is predicted to be too easy or too hard can be skipped or delayed.

Source: Deep Knowledge Tracing

Papers

Showing 3140 of 215 papers

TitleStatusHype
GIKT: A Graph-based Interaction Model for Knowledge TracingCode1
Contrastive Learning for Knowledge TracingCode1
Disentangled Knowledge Tracing for Alleviating Cognitive BiasCode1
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge TracingCode1
Application of Deep Self-Attention in Knowledge TracingCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
Evolutionary Neural Architecture Search for Transformer in Knowledge TracingCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Last Query Transformer RNN for knowledge tracingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAKTAcc70.73Unverified
2SAINT+AUC0.79Unverified
3SAINTAUC0.78Unverified
4PEBG+DKTAUC0.78Unverified
5PEBG+DKVMNAUC0.78Unverified
6DKVMNAUC0.77Unverified
7DKTAUC0.76Unverified
8GIKTAUC0.75Unverified
#ModelMetricClaimedVerifiedStatus
1DKTAUC0.86Unverified
2BKTAUC0.67Unverified