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 1120 of 215 papers

TitleStatusHype
Evolutionary Neural Architecture Search for Transformer in Knowledge TracingCode1
Forgetting-aware Linear Bias for Attentive Knowledge TracingCode1
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge TracingCode1
Learning Behavior-oriented Knowledge TracingCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCsCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge TracingCode1
Visual 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