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Computerized Adaptive Testing and Learning for Cognitive Diagnosis (CATL-CD), recently developed by the PI, is an app for E-learning that combines online instruction with close monitoring of students’ learning progress. After every curricular unit each student is presented with an individualized set of items to assess which topics she has mastered and which require further study. The first version of… Continue reading Item-Cloning Algorithm for CD-CAT, December 2021

Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnosis Abstract A nonparametric classification method for multiple-choice items (MC-NPC) for cognitive diagnosis (CD) is proposed in the study. The preliminary simulation study shows that the MC-NPC method results in higher correct classification rates than the traditional CD methods for dichotomous data and outperforms the MC-DINA model when the samples are small.

Nonparametric Classification Method for Multiple-Choice Items in Cognitive Diagnostic Assessments Abstract Cognitive diagnostic models (CDMs) aim to estimate the mastery and nonmastery of attributes for examinees. Numerous CDMs have been developed; however most of them can only be used to analyze dichotomous responses. Multiple-choice (MC) items are always dichotomized to fit the data with these CDMs, which in turn, may… Continue reading 2021 IMPS Presentation

Prof. Chiu presented the grant research at GSE Brown Bag in Spring 2021.