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 125 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
Evolutionary Neural Architecture Search for Transformer in Knowledge TracingCode1
Forgetting-aware Linear Bias for Attentive Knowledge TracingCode1
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge TracingCode1
Learning Behavior-oriented Knowledge TracingCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCsCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge TracingCode1
Visual Knowledge TracingCode1
Towards a General Pre-training Framework for Adaptive Learning in MOOCsCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Contrastive Learning for Knowledge TracingCode1
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
Show:102550
← PrevPage 1 of 9Next →

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