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 3140 of 215 papers

TitleStatusHype
Enhancing Knowledge Tracing via Adversarial TrainingCode1
Question Generation for Adaptive EducationCode1
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics EducationCode1
Application of Deep Self-Attention in Knowledge TracingCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing ModelsCode1
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive SequencesCode1
Option Tracing: Beyond Correctness Analysis in Knowledge TracingCode1
Last Query Transformer RNN for knowledge tracingCode1
Option Tracing: Beyond Binary Knowledge TracingCode1
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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