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Erschienen in: Journal of Computers in Education 2/2021

10.01.2021

Development and validation of online cognitive diagnostic assessment with ordered multiple-choice items for ‘Multiplication of Time’

verfasst von: Huan Chin, Cheng Meng Chew, Hooi Lian Lim

Erschienen in: Journal of Computers in Education | Ausgabe 2/2021

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Abstract

This paper describes the process of developing and validating an online cognitive diagnostic assessment (CDA) with ordered multiple-choice (OMC) items for assessing pupils’ mastery of attributes related to ‘Multiplication of Time’ and reports the empirical evidence regarding item quality, validity of the cognitive models and the reliability of the online CDA with OMC items. The sample of the study consisted of 90 Grade Four students in Penang state, Malaysia. The data were analysed using two measurement models, namely classical test theory and attribute hierarchy method. The findings of the study indicated that the instrument developed consisted of good quality OMC items with robust psychometric properties. The linear hierarchical structure of the three cognitive models was supported by moderate correlations among the attributes in each cognitive model as well as the decrease of mean attribute mastery probability with the increase of attribute complexity. With the satisfactory model-data fit, the inferences made about pupils’ attribute mastery based on their performance in the online CDA with OMC items were valid. The online CDA with OMC items developed in this study was found to be reliable at both the attribute and assessment levels. The online CDA with OMC items could be used in the mathematics classrooms for supporting teachers in diagnosing pupils’ cognitive strengths and weaknesses for ‘Multiplication of Time’.

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Metadaten
Titel
Development and validation of online cognitive diagnostic assessment with ordered multiple-choice items for ‘Multiplication of Time’
verfasst von
Huan Chin
Cheng Meng Chew
Hooi Lian Lim
Publikationsdatum
10.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Computers in Education / Ausgabe 2/2021
Print ISSN: 2197-9987
Elektronische ISSN: 2197-9995
DOI
https://doi.org/10.1007/s40692-020-00180-7

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