A simulation study to the dually adaptive online IRT testing system

The item response theory (IRT) gives us valuable information about the difficulties of items as well as the abilities of examinees. Adaptive testing using the IRT provides the most appropriate items to examinees automatically. However, the item parameters remain the same even if the features of the...

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Bibliographic Details
Published in2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) pp. 97 - 102
Main Authors Hirose, Hideo, Tokusada, Yoshiko
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2014
Subjects
Adaptation models
Adaptive systems
calibration
dually adaptive
Education
EM-type algorithm
Equations
item response theory
matrix completion
Monitoring
online adaptive system
Testing
Online AccessGet full text
DOI10.1109/TALE.2014.7062596

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Summary:The item response theory (IRT) gives us valuable information about the difficulties of items as well as the abilities of examinees. Adaptive testing using the IRT provides the most appropriate items to examinees automatically. However, the item parameters remain the same even if the features of the examinees and the number of examinees change. We propose to use the dually adaptive online IRT testing system, where "dually adaptive" means that one is targeted to the adequate item selection and the other is to the adjustment of the difficulty values for items. The key idea for this is to use the matrix completion method to the incomplete matrix. By using the simulation study, we found that the proposed method works well.
DOI:10.1109/TALE.2014.7062596