A FCA-Based Cognitive Diagnosis Model for CAT

A FCA-Based Cognitive Diagnosis Model for CAT

There is little room for doubt about that cognitive diagnosis has received much attention recently. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with cognitive diagnosis (CD-CAT) is pro...

A Simulation Study to Compare CAT Strategies for Cognitive Diagnosis

This paper demonstrates the performance of two possible CAT selection strategies for cognitive diagnosis. One is based on Shannon entropy and the other is based on Kullback-Leibler information. The performances of these two test construction methods are compared with random item selection. The cognitive diagnosis model used in this study is a simplified version of the Fusion model. Item banks a...

Computerized Adaptive Testing for Cognitive Diagnosis

Computerized adaptive testing (CAT) has become a popular testing mode in recent decades, because it improves testing efficiency over paper-and-pencil testing while maintaining accuracy. Usually CAT programs are built upon latent trait item response theory models. Cognitive diagnostic models, on the other hand, are constrained latent class models. It is of interest to both researchers and practi...

The Theory about CD-CAT Based on FCA and Its Application

Operational Specification for FCA using Z

We present an outline of a process by which operational software requirements specifications can be written for Formal Concept Analysis (FCA). The Z notation is used to specify the FCA model and the formal operations on it. We posit a novel approach whereby key features of Z and FCA can be integrated and put to work in contemporary software development, thus promoting operational specification ...