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

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Showing 101–150 of 215 papers

TitleStatusHype
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning—0
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing—0
Deep Learning for Educational Data Science—0
Addressing Label Leakage in Knowledge Tracing ModelsCode0
Predictive, scalable and interpretable knowledge tracing on structured domainsCode0
A Survey of Explainable Knowledge Tracing—0
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing ModelsCode0
Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuningCode0
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy—0
Towards Modeling Learner Performance with Large Language ModelsCode0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Analysis of Knowledge Tracing performance on synthesised student data—0
Prerequisite Structure Discovery in Intelligent Tutoring SystemsCode0
Parametric Constraints for Bayesian Knowledge Tracing from First Principles—0
Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction—0
On the verification of Embeddings using Hybrid Markov Logic—0
Interpretable Knowledge Tracing via Response Influence-based Counterfactual ReasoningCode0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
Adversarial Bootstrapped Question Representation Learning for Knowledge TracingCode0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient LengthsCode0
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge ConceptsCode0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning—0
Multi-granulariy Time-based Transformer for Knowledge Tracing—0
Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge TracingCode0
Attentive Q-Matrix Learning for Knowledge TracingCode0
Quiz-based Knowledge Tracing—0
Reinforcement Learning Guided Multi-Objective Exam Paper GenerationCode0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability—0
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction—0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive RepresentationsCode0
Enhancing Deep Knowledge Tracing with Auxiliary TasksCode0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge TracingCode0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Transition-Aware Multi-Activity Knowledge TracingCode0
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge TracingCode0
Differentiating Student Feedbacks for Knowledge Tracing—0
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics—0
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge TracingCode0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor FactorizationCode0
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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