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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 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
Visual Knowledge TracingCode1
Option Tracing: Beyond Binary Knowledge TracingCode1
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelCode1
Uncertainty-aware Knowledge TracingCode1
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal RelationsCode1
Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMsCode1
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics EducationCode1
GPT-based Open-Ended Knowledge TracingCode1
RKT : Relation-Aware Self-Attention for Knowledge TracingCode1
SAINT+: Integrating Temporal Features for EdNet Correctness PredictionCode1
Towards a General Pre-training Framework for Adaptive Learning in MOOCsCode1
Towards an Appropriate Query, Key, and Value Computation for Knowledge TracingCode1
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative FilteringCode1
Improving Knowledge Tracing via Pre-training Question EmbeddingsCode1
Last Query Transformer RNN for knowledge tracingCode1
Learning Process-consistent Knowledge TracingCode1
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCsCode1
Multi-Factors Aware Dual-Attentional Knowledge TracingCode1
Assessing the Performance of Online Students -- New Data, New Approaches, Improved AccuracyCode1
Question Generation for Adaptive EducationCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
Disentangled Knowledge Tracing for Alleviating Cognitive BiasCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge TracingCode1
Forgetting-aware Linear Bias for Attentive Knowledge TracingCode1
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
Enhancing Knowledge Tracing with Concept Map and Response DisentanglementCode1
Evolutionary Neural Architecture Search for Transformer in Knowledge TracingCode1
Application of Deep Self-Attention in Knowledge TracingCode1
GIKT: A Graph-based Interaction Model for Knowledge TracingCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Deep Knowledge TracingCode1
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive SequencesCode1
Learning Behavior-oriented Knowledge TracingCode1
Context-Aware Attentive Knowledge TracingCode1
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge TracingCode1
Contrastive Learning for Knowledge TracingCode1
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
Option Tracing: Beyond Correctness Analysis in Knowledge TracingCode1
pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing ModelsCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
Domain Adaption for Knowledge Tracing—0
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All datasetsEdNetAssistments

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAKTAcc70.73—Unverified
2SAINT+AUC0.79—Unverified
3SAINTAUC0.78—Unverified
4PEBG+DKTAUC0.78—Unverified
5PEBG+DKVMNAUC0.78—Unverified
6DKVMNAUC0.77—Unverified
7DKTAUC0.76—Unverified
8GIKTAUC0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1DKTAUC0.86—Unverified
2BKTAUC0.67—Unverified