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 5160 of 215 papers

TitleStatusHype
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty LevelsCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Attentive Q-Matrix Learning for Knowledge TracingCode0
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response TheoryCode0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive RepresentationsCode0
Deep Factorization Machines for Knowledge TracingCode0
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge TracingCode0
Augmenting Knowledge Tracing by Considering Forgetting BehaviorCode0
Deep Factorization Machines 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