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 41–50 of 215 papers

TitleStatusHype
Last Query Transformer RNN for knowledge tracingCode1
Context-Aware Attentive Knowledge TracingCode1
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics EducationCode1
Contrastive Learning for Knowledge TracingCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
Option Tracing: Beyond Binary Knowledge TracingCode1
Disentangled Knowledge Tracing for Alleviating Cognitive BiasCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
Show:102550
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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