A diffusion-model framework transfers examinees' cognitive states across courses to initialize computerized adaptive testing, improving cold-start performance.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
A diffusion-model framework transfers examinees' cognitive states across courses to initialize computerized adaptive testing, improving cold-start performance.