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
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Towards Modeling Learner Performance with Large Language ModelsCode0
Transition-Aware Multi-Activity Knowledge TracingCode0
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational ResourcesCode0
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question InformationCode0
How deep is knowledge tracing?—0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations—0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
Uncertainty-preserving deep knowledge tracing with state-space models—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
Imputing Knowledge Tracing Data with Subject-Based Training via LSTM Variational Autoencoders Frameworks—0
Temporal Cross-Effects in Knowledge Tracing—0
Incremental Knowledge Tracing from Multiple Schools—0
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning—0
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems—0
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
Temporal Graph Memory Networks For Knowledge Tracing—0
UniEDU: A Unified Language and Vision Assistant for Education Applications—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Time-varying Learning and Content Analytics via Sparse Factor Analysis—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Analysis of Knowledge Tracing performance on synthesised student data—0
Knowledge Tracing: A Survey—0
Knowledge Tracing Challenge: Optimal Activity Sequencing for Students—0
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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