DocumentCode
1801857
Title
Neural networks based attribute hierarchy method in cognitive diagnosis
Author
Jun Wang ; Jiayuan Yu
Author_Institution
Department of Psychology, Nanjing Normal University, China
fYear
2013
fDate
1-8 Jan. 2013
Firstpage
1
Lastpage
3
Abstract
The neural networks based attribute hierarchy method (NN-AHM) is promoted in this study, it could be applied in cognitive diagnosis. AHM could classify examinees´ responses into a set of attribute mastery patterns. Very large sample is needed for AHM, and it is hard to describe the examinee master degree for each attribution. The generalized regression neural network is used in this study to estimate the attribute probabilities in small sample to provide information about the examinee´s attribute-mastery level.
Keywords
Artificial neural networks; Educational institutions; Electronic mail; Pattern recognition; Psychology; Vectors; Attribute hierarchy method; cognitive diagnosis; neural network; psychological measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference Anthology, IEEE
Conference_Location
China
Type
conf
DOI
10.1109/ANTHOLOGY.2013.6784812
Filename
6784812
Link To Document