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

Showing 6170 of 215 papers

TitleStatusHype
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing0
UniEDU: A Unified Language and Vision Assistant for Education Applications0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty0
Automated Knowledge Component Generation and Knowledge Tracing for Coding ProblemsCode0
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale DataCode0
Knowledge Tracing in Programming Education Integrating Students' Questions0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAKTAcc70.73Unverified
2SAINT+AUC0.79Unverified
3SAINTAUC0.78Unverified
4PEBG+DKTAUC0.78Unverified
5PEBG+DKVMNAUC0.78Unverified
6DKVMNAUC0.77Unverified
7DKTAUC0.76Unverified
8GIKTAUC0.75Unverified
#ModelMetricClaimedVerifiedStatus
1DKTAUC0.86Unverified
2BKTAUC0.67Unverified