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 201210 of 215 papers

TitleStatusHype
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge TracingCode0
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent RegularizationCode0
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job PredictionCode0
Second Language Acquisition Modeling0
Deep Factorization Machines for Knowledge TracingCode0
CLUF: a Neural Model for Second Language Acquisition Modeling0
Feature Engineering for Second Language Acquisition Modeling0
Deep Trustworthy Knowledge Tracing0
Deep Factorization Machines for Knowledge TracingCode0
Knowledge Tracing in Sequential Learning of Inflected Vocabulary0
Show:102550
← PrevPage 21 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