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 171180 of 215 papers

TitleStatusHype
Accuracy-aware Deep Knowledge Tracing with Knowledge State Vector LossCode0
RKT : Relation-Aware Self-Attention for Knowledge TracingCode1
Deep Knowledge Tracing with Learning Curves0
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Context-Aware Attentive Knowledge TracingCode1
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing0
qDKT: Question-centric Deep Knowledge Tracing0
Dynamic Knowledge embedding and tracing0
Towards Interpretable Deep Learning Models for Knowledge Tracing0
Towards an Appropriate Query, Key, and Value Computation for 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