Computerized adaptive testing item selection in computerized adaptive learning systems

Theo J.H.M Eggen

doi:10.3990/3.9789036533744.ch2

Computerized adaptive testing item selection in computerized adaptive learning systems

Theo J.H.M Eggen

Faculty of Behavioural, Management and Social Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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Abstract

Item selection methods traditionally developed for computerized adaptive testing (CAT) are explored for their usefulness in item-based computerized adaptive learning (CAL) systems. While in CAT Fisher information-based selection is optimal, for recovering learning populations in CAL systems item selection based on Kullback-Leibner information is an alternative

Original language	English
Title of host publication	Psychometrics in practice at RCEC
Editors	T.J.H.M. Eggen, B.P. Veldkamp
Place of Publication	Enschede
Publisher	RCEC
Pages	14-25
ISBN (Print)	9789036533744
DOIs	https://doi.org/10.3990/3.9789036533744.ch2
Publication status	Published - 2012

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Psychometrics in Practice at RCEC
Eggen, T. J. H. M. & Veldkamp, B. P., 2012, Enschede: Ipskamp Printing. 180 p.
Research output: Book/Report › Book › Academic

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Computerized adaptive testing item selection in computerized adaptive learning systems

Abstract

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Research output

Psychometrics in Practice at RCEC

Cite this