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 141–150 of 215 papers

TitleStatusHype
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing—0
Sparse Binary Representation Learning for Knowledge Tracing—0
Survey of Loss Augmented Knowledge Tracing—0
Temporal Cross-Effects in Knowledge Tracing—0
Temporal Graph Memory Networks For Knowledge Tracing—0
Time-varying Learning and Content Analytics via Sparse Factor Analysis—0
Towards Interpretable Deep Learning Models for Knowledge Tracing—0
Towards Robust Knowledge Tracing Models via k-Sparse Attention—0
Tracing Player Knowledge in a Parallel Programming Educational Game—0
Tracking student skills real-time through a continuous-variable dynamic Bayesian network—0
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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