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 51–75 of 215 papers

TitleStatusHype
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing—0
How deep is knowledge tracing?—0
Augmenting Interpretable Knowledge Tracing by Ability Attribute and Attention Mechanism—0
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing—0
Analysis of Knowledge Tracing performance on synthesised student data—0
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing—0
Feature Engineering for Second Language Acquisition Modeling—0
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 Education—0
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities—0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
Deep Knowledge Tracing with Learning Curves—0
Deep Knowledge Tracing with Side Information—0
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation—0
Fair Knowledge Tracing in Second Language Acquisition—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
A Survey of Explainable Knowledge Tracing—0
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?—0
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
Equity and Fairness of Bayesian Knowledge Tracing—0
Consistency and Monotonicity Regularization for Neural Knowledge Tracing—0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
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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