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
Reinforcement Learning Guided Multi-Objective Exam Paper GenerationCode0
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale DataCode0
RouterKT: Mixture-of-Experts for Knowledge TracingCode0
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge TracingCode0
Systematic Review of Approaches to Improve Peer Assessment at ScaleCode0
Temporal Cross-Effects in Knowledge TracingCode0
Test Case-Informed Knowledge Tracing for Open-ended Coding TasksCode0
Towards Modeling Learner Performance with Large Language ModelsCode0
Towards Robust Knowledge Tracing Models via k-Sparse AttentionCode0
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
Knowledge Tracing with Sequential Key-Value Memory NetworksCode0
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 is an implicit dynamic multidimensional item response theory model—0
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
Sparse Binary Representation Learning for Knowledge Tracing—0
Interpreting Deep Knowledge Tracing Model on EdNet Dataset—0
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students—0
Survey of Loss Augmented Knowledge Tracing—0
Knowledge Query Network: How Knowledge Interacts with Skills—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—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