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 51–60 of 215 papers

TitleStatusHype
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge TracingCode0
Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task—0
Programming knowledge tracing based on heterogeneous graph representation—0
Dual-State Personalized Knowledge Tracing with Emotional Incorporation—0
Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model—0
Explainable Few-shot Knowledge TracingCode0
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation—0
Question Difficulty Consistent Knowledge TracingCode0
Interpretable Knowledge Tracing with Multiscale State RepresentationCode0
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
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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