Download e-book for kindle: Automatic item generation : theory and practice by Mark J Gierl, Thomas M. Haladyna

By Mark J Gierl, Thomas M. Haladyna

ISBN-10: 0203803914

ISBN-13: 9780203803912

ISBN-10: 0415897505

ISBN-13: 9780415897501

ISBN-10: 0415897513

ISBN-13: 9780415897518

"Automatic merchandise iteration (AIG) represents a comparatively new and specific study zone the place particular cognitive and psychometric theories are utilized to check building practices for the aim of manufacturing attempt goods utilizing know-how. the aim of this e-book is to deliver researchers and practitioners updated at the starting to be physique of study on AIG via organizing in a single quantity what's at the moment identified approximately this Read more...

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Irvine & P. C. ), Item generation for test development (pp. 199–218). Mahwah, NJ: Lawrence Erlbaum Associates. Bejar, I. I. (2009). Model-based item generation: A review of recent research. In S. E. ), Measuring psychological constructs: Advances in model-based approaches. Washington, DC: American Psychological Association Books. Bejar, I. , Lawless, R. , Morley, M. , Wagner, M. , Bennett, R. , & Revuelta, J. (2003). A feasibility study of on-the-fly item generation in adaptive testing. Journal of Learning, Technology and Assessment 2(3), 2–29.

The decision about which animals to include in the pool serves as the statistical difficulty “driver” in this example, meaning that different animals could elicit different item difficulty estimates. Using weak-theory AIG, the goal is most often to select those animals that would yield items with a similar level of difficulty. S2 includes content on animal habitat. In our example, three habitats are presented: prairie, mountains, and tundra. Other habitats expected to yield generated items with a similar difficulty level could be included.

Alternatively, when the goal of using weak theory is to generate items that are not statistically calibrated (in this case, the generated items will still need to be field tested), then the content specialist’s task is to manipulate those elements that yield large numbers of instances of the parent item through the generative process. This second goal is seldom the purpose of weak-theory AIG, although it can be used to generate items needed to initially develop banks or to replenish the banks as items are retired.

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Automatic item generation : theory and practice by Mark J Gierl, Thomas M. Haladyna

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