Automatically growing dually adaptive online IRT testing

The item response theory (IRT) is widely used in many fields recently because it provides us the abilities of examinees and the difficulties of items simultaneously. Online IRT test systems are often equipped with the adaptive testing. Such a testing method selects the most appropriate items to exam...

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Bibliographic Details
Published in2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE) pp. 528 - 533
Main Authors Hirose, Hideo, Aizawa, Yu
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.12.2014
Subjects
Adaptive systems
automatically growing
Calibration
dually adaptive
Education
EM-type algorithm
Equations
item contributor
item registration
item response theory
matrix completion
Monitoring
online adaptive system
Testing
Online AccessGet full text
DOI10.1109/TALE.2014.7062594

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Summary:The item response theory (IRT) is widely used in many fields recently because it provides us the abilities of examinees and the difficulties of items simultaneously. Online IRT test systems are often equipped with the adaptive testing. Such a testing method selects the most appropriate items to examinees automatically. However, the item difficulty values remain the same even if the features of the examinees and the size of the items change. Calibration of the difficulty values is required in such cases, and the dually adaptive online IRT testing system works, where "dually adaptive" means that one is targeted to the adequate item selection and the other is targeted to the adjustment of the item difficulty values. Using this, the database in the system will automatically be growing and be updated. In this paper, we introduce such a novel system with applications.
DOI:10.1109/TALE.2014.7062594