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 4150 of 215 papers

TitleStatusHype
Improving Knowledge Tracing via Pre-training Question EmbeddingsCode1
SAINT+: Integrating Temporal Features for EdNet Correctness PredictionCode1
GIKT: A Graph-based Interaction Model for Knowledge TracingCode1
RKT : Relation-Aware Self-Attention for Knowledge TracingCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Context-Aware Attentive Knowledge TracingCode1
Towards an Appropriate Query, Key, and Value Computation for Knowledge TracingCode1
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
Deep Knowledge TracingCode1
Personalized Exercise Recommendation with Semantically-Grounded Knowledge TracingCode0
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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