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 101–125 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
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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