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 176–200 of 215 papers

TitleStatusHype
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job PredictionCode0
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A ReviewCode0
Personalized Student Knowledge Modeling for Future Learning Resource PredictionCode0
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge TracingCode0
Interpretable Knowledge Tracing via Response Influence-based Counterfactual ReasoningCode0
Interpretable Knowledge Tracing with Multiscale State RepresentationCode0
A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom SettingsCode0
Predictive, scalable and interpretable knowledge tracing on structured domainsCode0
Knowledge Query Network for Knowledge TracingCode0
Prerequisite Structure Discovery in Intelligent Tutoring SystemsCode0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Adversarial Bootstrapped Question Representation Learning for Knowledge TracingCode0
Accuracy-aware Deep Knowledge Tracing with Knowledge State Vector LossCode0
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
Augmenting Knowledge Tracing by Considering Forgetting BehaviorCode0
Knowledge Tracing Machines: Factorization Machines for Knowledge TracingCode0
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response TheoryCode0
Addressing Label Leakage in Knowledge Tracing ModelsCode0
Deep Factorization Machines for Knowledge TracingCode0
Towards Modeling Learner Performance with Large Language ModelsCode0
Deep Factorization Machines for Knowledge TracingCode0
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Question Difficulty Consistent Knowledge TracingCode0
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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