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 8190 of 215 papers

TitleStatusHype
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent RegularizationCode0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Knowledge Tracing Machines: Factorization Machines for Knowledge TracingCode0
Interpretable Knowledge Tracing via Response Influence-based Counterfactual ReasoningCode0
Interpretable Knowledge Tracing with Multiscale State RepresentationCode0
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job PredictionCode0
Knowledge Query Network for Knowledge TracingCode0
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
Show:102550
← PrevPage 9 of 22Next →

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