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

Showing 201215 of 215 papers

TitleStatusHype
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor0
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance0
Fair Knowledge Tracing in Second Language Acquisition0
Feature Engineering for Second Language Acquisition Modeling0
Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability0
From Prediction to Application: Language Model-based Code Knowledge Tracing with Domain Adaptive Pre-Training and Automatic Feedback System with Pedagogical Prompting for Comprehensive Programming Education0
Deep Learning for Educational Data Science0
Deep Knowledge Tracing with Side Information0
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing0
Deep Knowledge Tracing with Learning Curves0
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing0
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education0
Sparse Binary Representation Learning for Knowledge Tracing0
Survey of Loss Augmented Knowledge Tracing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAKTAcc70.73Unverified
2SAINT+AUC0.79Unverified
3SAINTAUC0.78Unverified
4PEBG+DKTAUC0.78Unverified
5PEBG+DKVMNAUC0.78Unverified
6DKVMNAUC0.77Unverified
7DKTAUC0.76Unverified
8GIKTAUC0.75Unverified
#ModelMetricClaimedVerifiedStatus
1DKTAUC0.86Unverified
2BKTAUC0.67Unverified