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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 131–140 of 215 papers

TitleStatusHype
Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation—0
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy—0
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model—0
Programming knowledge tracing based on heterogeneous graph representation—0
qDKT: Question-centric Deep Knowledge Tracing—0
Question Difficulty Consistent Knowledge Tracing—0
Quiz-based Knowledge Tracing—0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
Second Language Acquisition Modeling—0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation—0
Show:102550
← PrevPage 14 of 22Next →
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