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 21–30 of 215 papers

TitleStatusHype
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale DataCode0
Knowledge Tracing in Programming Education Integrating Students' Questions—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Sparse Binary Representation Learning for Knowledge Tracing—0
Tracking student skills real-time through a continuous-variable dynamic Bayesian network—0
Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method—0
Uncertainty-aware Knowledge TracingCode1
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process—0
Fair Knowledge Tracing in Second Language Acquisition—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