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 91100 of 215 papers

TitleStatusHype
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job PredictionCode0
Interpretable Knowledge Tracing with Multiscale State RepresentationCode0
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimationCode0
Personalized Exercise Recommendation with Semantically-Grounded Knowledge TracingCode0
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty LevelsCode0
Accuracy-aware Deep Knowledge Tracing with Knowledge State Vector LossCode0
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge TracingCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
Knowledge Query Network 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