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 161170 of 215 papers

TitleStatusHype
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
EKT: Exercise-aware Knowledge Tracing for Student Performance PredictionCode0
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient LengthsCode0
A Self-Attentive model 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
Towards Modeling Learner Performance with Large Language ModelsCode0
Accuracy-aware Deep Knowledge Tracing with Knowledge State Vector LossCode0
EdNet: A Large-Scale Hierarchical Dataset in EducationCode0
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuningCode0
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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