Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes

Computerized adaptive testing (CAT) was initially developed as a psychometric tool for the efficient estimation of the ability of a student. Because of technological and psychometrical developments, CAT can now meet practical conditions and can also have other purposes than the mere estimation of ab...

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Main Author: Theo J. H. M. Eggen
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Education
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/feduc.2018.00111/full
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spelling doaj-51fefa20a9b049ddb5f03aa8d64a22bd2020-11-25T03:20:51ZengFrontiers Media S.A.Frontiers in Education2504-284X2018-12-01310.3389/feduc.2018.00111387471Multi-Segment Computerized Adaptive Testing for Educational Testing PurposesTheo J. H. M. Eggen0Theo J. H. M. Eggen1Cito, Arnhem, NetherlandsUniversity of Twente, Behavioral and Management Sciences, Enschede, NetherlandsComputerized adaptive testing (CAT) was initially developed as a psychometric tool for the efficient estimation of the ability of a student. Because of technological and psychometrical developments, CAT can now meet practical conditions and can also have other purposes than the mere estimation of ability. It can be applied in not only summative but also formative settings. In this paper, attention is given to the goals of testing in education and the different CAT algorithms serving these purposes. In particular, the approach of multi-segment adaptive testing is described. A multi-segment CAT consists of a number of segments, each with its own algorithm and branching rules. In this approach, practical constraints can be implemented in CATs. Furthermore, having a different testing purpose per segment for possibly different parts of the population is possible. The method will be illustrated with a CAT that has been developed as a part of an operational student monitoring system, which is a spelling test of Dutch words.https://www.frontiersin.org/article/10.3389/feduc.2018.00111/fullcomputerized adaptive testingmulti-segment testinggoals of educational testingspelling abilityitem response theory
collection DOAJ
language English
format Article
sources DOAJ
author Theo J. H. M. Eggen
Theo J. H. M. Eggen
spellingShingle Theo J. H. M. Eggen
Theo J. H. M. Eggen
Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
Frontiers in Education
computerized adaptive testing
multi-segment testing
goals of educational testing
spelling ability
item response theory
author_facet Theo J. H. M. Eggen
Theo J. H. M. Eggen
author_sort Theo J. H. M. Eggen
title Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
title_short Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
title_full Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
title_fullStr Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
title_full_unstemmed Multi-Segment Computerized Adaptive Testing for Educational Testing Purposes
title_sort multi-segment computerized adaptive testing for educational testing purposes
publisher Frontiers Media S.A.
series Frontiers in Education
issn 2504-284X
publishDate 2018-12-01
description Computerized adaptive testing (CAT) was initially developed as a psychometric tool for the efficient estimation of the ability of a student. Because of technological and psychometrical developments, CAT can now meet practical conditions and can also have other purposes than the mere estimation of ability. It can be applied in not only summative but also formative settings. In this paper, attention is given to the goals of testing in education and the different CAT algorithms serving these purposes. In particular, the approach of multi-segment adaptive testing is described. A multi-segment CAT consists of a number of segments, each with its own algorithm and branching rules. In this approach, practical constraints can be implemented in CATs. Furthermore, having a different testing purpose per segment for possibly different parts of the population is possible. The method will be illustrated with a CAT that has been developed as a part of an operational student monitoring system, which is a spelling test of Dutch words.
topic computerized adaptive testing
multi-segment testing
goals of educational testing
spelling ability
item response theory
url https://www.frontiersin.org/article/10.3389/feduc.2018.00111/full
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