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 1120 of 215 papers

TitleStatusHype
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Enhancing Knowledge Tracing with Concept Map and Response DisentanglementCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Contrastive Learning for Knowledge TracingCode1
Application of Deep Self-Attention in Knowledge TracingCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
DGEKT: A Dual Graph Ensemble Learning Method 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