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 61–70 of 215 papers

TitleStatusHype
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing—0
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing—0
UniEDU: A Unified Language and Vision Assistant for Education Applications—0
LLM-driven Effective Knowledge Tracing by Integrating Dual-channel Difficulty—0
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' Questions—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing—0
Show:102550
← PrevPage 7 of 22Next →

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