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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 215 papers

TitleStatusHype
Deep Knowledge Tracing with Learning Curves—0
Deep Knowledge Tracing with Side Information—0
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
A Survey of Explainable Knowledge Tracing—0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Equity and Fairness of Bayesian Knowledge Tracing—0
Fair Knowledge Tracing in Second Language Acquisition—0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
Dual-State Personalized Knowledge Tracing with Emotional Incorporation—0
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All datasetsEdNetAssistments

Benchmark Results

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