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 141150 of 215 papers

TitleStatusHype
Interpreting Deep Knowledge Tracing Model on EdNet Dataset0
Assessing the Performance of Online Students -- New Data, New Approaches, Improved AccuracyCode1
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing0
Learning Process-consistent Knowledge TracingCode1
Multi-Factors Aware Dual-Attentional Knowledge TracingCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
Question Generation for Adaptive EducationCode1
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics EducationCode1
Application of Deep Self-Attention in Knowledge TracingCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
Show:102550
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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