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 6170 of 215 papers

TitleStatusHype
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
Knowledge Query Network for Knowledge TracingCode0
Deep Factorization Machines for Knowledge TracingCode0
A Trainable Spaced Repetition Model for Language LearningCode0
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AICode0
A Hierarchical Probabilistic Framework for Incremental Knowledge Tracing in Classroom SettingsCode0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of SkillsCode0
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge TracingCode0
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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