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 101110 of 215 papers

TitleStatusHype
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Towards Modeling Learner Performance with Large Language ModelsCode0
Transition-Aware Multi-Activity Knowledge TracingCode0
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational ResourcesCode0
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question InformationCode0
How deep is knowledge tracing?0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model0
Uncertainty-preserving deep knowledge tracing with state-space models0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing0
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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