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 26–50 of 215 papers

TitleStatusHype
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Evolutionary Neural Architecture Search for Transformer in Knowledge TracingCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
Tracing Knowledge Instead of Paterns: Stable Knowledge Tracing with Diagnostic TransformerCode1
Learning Behavior-oriented Knowledge TracingCode1
Enhancing Knowledge Tracing via Adversarial TrainingCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
Improving Knowledge Tracing via Pre-training Question EmbeddingsCode1
Application of Deep Self-Attention in Knowledge TracingCode1
Deep Knowledge TracingCode1
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge TracingCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
Learning Process-consistent Knowledge TracingCode1
Dynamic Student Classiffication on Memory Networks for Knowledge TracingCode1
Context-Aware Attentive Knowledge TracingCode1
Multi-Factors Aware Dual-Attentional 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
Assessing the Performance of Online Students -- New Data, New Approaches, Improved AccuracyCode1
Enhancing Knowledge Tracing with Concept Map and Response DisentanglementCode1
Question Generation for Adaptive EducationCode1
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
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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