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 121–130 of 215 papers

TitleStatusHype
Adversarial Bootstrapped Question Representation Learning for Knowledge TracingCode0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining—0
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
Deep Knowledge Tracing is an implicit dynamic multidimensional item response theory model—0
No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient LengthsCode0
Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge ConceptsCode0
Leveraging Skill-to-Skill Supervision for Knowledge Tracing—0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation—0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation—0
A Conceptual Model for End-to-End Causal Discovery in Knowledge TracingCode0
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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