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 171180 of 215 papers

TitleStatusHype
Knowledge Tracing with Sequential Key-Value Memory Networks0
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model0
Programming knowledge tracing based on heterogeneous graph representation0
A Survey of Explainable Knowledge Tracing0
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects0
qDKT: Question-centric Deep Knowledge Tracing0
Question Difficulty Consistent Knowledge Tracing0
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability0
Quiz-based Knowledge Tracing0
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation0
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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