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

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Showing 71–80 of 215 papers

TitleStatusHype
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—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
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
CogGen: A Learner-Centered Generative AI Architecture for Intelligent Tutoring with Programming Video—0
Exercise Hierarchical Feature Enhanced Knowledge Tracing—0
Fair Knowledge Tracing in Second Language Acquisition—0
Dynamic Knowledge embedding and tracing—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