Adaptive Testing System (ATS) is a promising testing mode, extensively utilized in
standardized tests like the GRE. It offers personalized ability assessment by dynamically …

In this chapter, we provide a comprehensive and up-to-date review of cognitive diagnosis
computer adaptive testing (CD-CAT). Similar to Cheng and Keng (Computerized adaptive …

Computerized Adaptive Testing (CAT) provides an efficient and tailored method for
assessing the proficiency of examinees, by dynamically adjusting test questions based on …

Personalized recommendation plays an important role on content selection during the
adaptive learning process. It is always a challenge on how to recommend effective items to …

Cognitive diagnostic computerized adaptive testing (CD-CAT) is a cutting-edge technology
in educational measurement that targets at providing feedback on examinees' strengths and …

The Scaling Individuals and Classifying Misconceptions (SICM) model is an advanced
psychometric model that can provide feedback to examinees' misconceptions and a general …

The purpose of this study is to investigate the relationship between the Shannon entropy
procedure and the Jensen–Shannon divergence (JSD) that are used as item selection …

Introduction Adaptive learning platforms offer innovative teaching approaches by tailoring
educational content to individual learner's needs, abilities, and paces. Methods This study …

Cognitive diagnostic models (CDMs) are a family of psychometric models designed to
provide categorical classifications for multiple latent attributes or skills using close-ended …

Maximum deviation global discrimination index (MDGDI) is a new item selection method for
cognitive diagnostic computerized adaptive testing that allows for attribute coverage …