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 51–75 of 215 papers

TitleStatusHype
Knowledge Tracing Machines: Factorization Machines for Knowledge TracingCode0
Augmenting Knowledge Tracing by Considering Forgetting BehaviorCode0
Attentive Q-Matrix Learning for Knowledge TracingCode0
Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response TheoryCode0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
Deep Factorization Machines for Knowledge TracingCode0
Deep Knowledge Tracing and Dynamic Student Classification for Knowledge TracingCode0
Deep Factorization Machines for Knowledge TracingCode0
A Trainable Spaced Repetition Model for Language LearningCode0
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
Addressing Label Leakage in Knowledge Tracing ModelsCode0
A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom SettingsCode0
Interpretable Knowledge Tracing with Multiscale State RepresentationCode0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of SkillsCode0
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge TracingCode0
Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model UpdatingCode0
Interpretable Knowledge Tracing via Response Influence-based Counterfactual ReasoningCode0
Knowledge Query Network for Knowledge TracingCode0
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge ConceptsCode0
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge TransferCode0
A Self-Attentive model for Knowledge TracingCode0
Adversarial Bootstrapped Question Representation Learning for 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