Computerized adaptive testing item selection in computerized adaptive learning systems

Eggen, T.J.H.M. (2012) Computerized adaptive testing item selection in computerized adaptive learning systems. In: Psychometrics in practice at RCEC. RCEC, Enschede, 14 - 25. ISBN 9789036533744

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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
Item Type:	Book Section
Copyright:	© RCEC, Cito/University of Twente, Enschede, Netherlands, 2012
Faculty:	Behavioural Sciences (BS)
Research Group:	Research Methodology, Measurement and Data Analysis (OMD)
Link to this item:	http://purl.utwente.nl/publications/80211
Official URL:	http://dx.doi.org/10.3990/3.9789036533744.ch2
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