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 151–160 of 215 papers

TitleStatusHype
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
Uncertainty-preserving deep knowledge tracing with state-space models—0
UniEDU: A Unified Language and Vision Assistant for Education Applications—0
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System—0
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing—0
Hierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education—0
How deep is knowledge tracing?—0
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
Explainable Few-shot Knowledge TracingCode0
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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