A Q-matrix Model Based on Binarized Neural Network

Abstract Q-matrix theory plays an important role in the field of cognitive diagnosis assessment. It is time-consuming and laborious for experts to define Q-matrix from a large number of data. In order to deal with this problem, this article comes up with a Q- matrix generation model based on binariz...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2171; no. 1; pp. 12037 - 12045
Main Authors Li, Jingjiang, Jiang, Chong, Ye, Shiwei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2022
Subjects
Boolean algebra
Matrix theory
Neural networks
Physics
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Summary:Abstract Q-matrix theory plays an important role in the field of cognitive diagnosis assessment. It is time-consuming and laborious for experts to define Q-matrix from a large number of data. In order to deal with this problem, this article comes up with a Q- matrix generation model based on binarized neural network. We combine the neural network with the Boolean operation relations of Q-matrix, A matrix and R matrix in item response theory, so that the model can mine Q-matrix more effectively.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2171/1/012037