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 1–10 of 215 papers

TitleStatusHype
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing ModelsCode2
Training Turn-by-Turn Verifiers for Dialogue Tutoring Agents: The Curious Case of LLMs as Your Coding TutorsCode2
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning ProcessCode1
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksCode1
Contrastive Learning for Knowledge TracingCode1
Adaptive and Personalized Exercise Generation for Online Language LearningCode1
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty EffectCode1
Application of Deep Self-Attention in Knowledge TracingCode1
A Survey of Knowledge Tracing: Models, Variants, and ApplicationsCode1
Assessing the Performance of Online Students -- New Data, New Approaches, Improved AccuracyCode1
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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