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 110 of 215 papers

TitleStatusHype
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding TutorsCode2
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing ModelsCode2
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Disentangled Knowledge Tracing for Alleviating Cognitive BiasCode1
Uncertainty-aware Knowledge TracingCode1
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMsCode1
Enhancing Knowledge Tracing with Concept Map and Response DisentanglementCode1
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
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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