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 151–200 of 215 papers

TitleStatusHype
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System—0
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge TracingCode0
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing ModelsCode0
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient LengthsCode0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
Transition-Aware Multi-Activity Knowledge TracingCode0
Systematic Review of Approaches to Improve Peer Assessment at ScaleCode0
Temporal Cross-Effects in Knowledge TracingCode0
Explainable Few-shot Knowledge TracingCode0
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
EKT: Exercise-aware Knowledge Tracing for Student Performance PredictionCode0
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural NetworkCode0
EdNet: A Large-Scale Hierarchical Dataset in EducationCode0
Back to the Basics: Bayesian extensions of IRT outperform neural networks for proficiency estimationCode0
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge TracingCode0
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty LevelsCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Knowledge Tracing with Sequential Key-Value Memory NetworksCode0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive RepresentationsCode0
Dynamic Key-Value Memory Networks for Knowledge TracingCode0
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuningCode0
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational ResourcesCode0
Personalized Exercise Recommendation with Semantically-Grounded Knowledge TracingCode0
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