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 2650 of 215 papers

TitleStatusHype
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 Tracing0
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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