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

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Showing 121–130 of 215 papers

TitleStatusHype
Time-varying Learning and Content Analytics via Sparse Factor Analysis—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Analysis of Knowledge Tracing performance on synthesised student data—0
Knowledge Tracing: A Survey—0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary—0
Towards Interpretable Deep Learning Models for Knowledge Tracing—0
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—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