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University of Oslo Workshops June 29-30 Conference July 1-3 ...

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associations vary in the two countries. This analysis employs HLM, a multilevel modeling<br />

technique that allows for individual- and school-level predictors to be used simultaneously<br />

in the analysis <strong>of</strong> an outcome, and it allows for interactions between student- and schoollevel<br />

variables to be examined.<br />

Keywords: communities <strong>of</strong> practice; socio-cultural; civic engagement; citizenship<br />

education; comparative international education<br />

Assessing Student's Cognitive Content and Process Skills in IEA CIVED: A<br />

Cross-country Analysis<br />

Ting Zhang, <strong>University</strong> <strong>of</strong> Maryland, College Park, USA<br />

Judith Torney-Purta, <strong>University</strong> <strong>of</strong> Maryland, College Park, USA<br />

<br />

This study used a cognitive diagnostic modelling approach to compare the civic education<br />

achievement <strong>of</strong> 14-year-olds from the IEA CIVED assessment across samples <strong>of</strong> three<br />

countries. Four cognitive attributes describing the content and skills were identified<br />

underlying the CIVED test items. Based on mastery <strong>of</strong> each attribute, students <strong>of</strong> three<br />

countries were classified into different four cognitive pr<strong>of</strong>iles. Differences among the<br />

countries were found in patterns <strong>of</strong> attribute achievement. Hong Kong students were strong<br />

in basic conceptual knowledge, but weak in advanced analyzing and synthesizing skills.<br />

The U.S. students were strong in the analyzing and synthesizing skills and deficient in the<br />

advanced conceptual knowledge. Evidence from the cognitive pr<strong>of</strong>iling supported the<br />

hypothesis that basic conceptual knowledge is prerequisite for more advanced conceptual<br />

knowledge/reasoning and for skills.<br />

Keywords: CIVED; cognitive content and processing skills; cognitive diagnostic modelling<br />

75

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