Application of Binary Searching for Item Exposure Control in Cognitive Diagnostic Computerized Adaptive Testing.

ABSTRACT: Cognitive diagnosis has emerged as a new generation of testing theory for educational assessment after the item response theory (IRT). One distinct feature of cognitive diagnostic models (CDMs) is that they assume the latent trait to be discrete instead of continuous as in IRT. From this perspective, cognitive diagnosis bears a close resemblance to searching problems in computer science and, similarly, item selection problem in cognitive diagnostic computerized adaptive testing (CD-CAT) can be considered as a dynamic searching problem. Previously, item selection algorithms in CD-CAT were developed from information indices in information science and attempted to achieve a balance among several objectives by assigning different weights. As a result, they suffered from low efficiency from a t

SUBMITTER: Zheng C 

PROVIDER: S-EPMC5978473 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature