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 191200 of 215 papers

TitleStatusHype
Knowledge Query Network: How Knowledge Interacts with Skills0
A Self-Attentive model for Knowledge TracingCode0
EKT: Exercise-aware Knowledge Tracing for Student Performance PredictionCode0
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of SkillsCode0
Augmenting Knowledge Tracing by Considering Forgetting Behavior0
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response TheoryCode0
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
Knowledge Query Network for Knowledge TracingCode0
Knowledge Tracing Machines: Factorization Machines for Knowledge TracingCode0
Deep Knowledge Tracing and Dynamic Student Classification for 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