By Mark J Gierl, Thomas M. Haladyna
"Automatic merchandise new release (AIG) represents a comparatively new and precise learn quarter the place particular cognitive and psychometric theories are utilized to check building practices for the aim of manufacturing try goods utilizing know-how. the aim of this booklet is to convey researchers and practitioners up to date at the growing to be physique of analysis on AIG by way of organizing in a single quantity what's at the moment identified approximately this learn zone. half I starts off with an outline of the suggestions and issues worthwhile for figuring out AIG via concentrating on either its historical past and present purposes. half II offers theoretical frameworks and useful functions of those frameworks within the construction of merchandise iteration. half III summarizes the mental and substantial features of generated goods . half IV concludes with a dialogue of the statistical types that may be used to estimate the article features of generated goods, positive aspects one destiny software of AIG, describes the present applied sciences used for AIG, and in addition highlights the unresolved concerns that has to be addressed as AIG keeps to mature as a study quarter. accomplished The booklet presents a finished research of either the theoretical techniques that outline computerized merchandise iteration and the sensible concerns required to enforce those suggestions. assorted functions Readers are supplied with novel functions in various content material components (e.g., technology and examining comprehension) that diversity throughout all academic degrees hassle-free via university"-- Read more...
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Additional info for Automatic item generation : theory and practice
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Applied Measurement in Education, 5, 73–88. Haladyna, T. M. (2004). ). Mahwah, NJ: Lawrence Erlbaum Associates). Haladyna, T. , & Downing, S. M. (1989a). A taxonomy of multiple-choice item-writing rules. Applied Measurement in Education, 1, 37–50. Haladyna, T. , & Downing, S. M. (1989b). The validity of a taxonomy of multiple-choice item-writing rules. Applied Measurement in Education, 1, 51–78. Haladyna, T. M. & Downing, S. M. (1993). How many options is enough for a multiple-choice test item.
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. S3 includes content on the animal’s adaptive characteristics. Two characteristics are described in this model, fur and feathers. S1, S2, and S3 are dependent stem elements in this example, as the choice of animal affects the animal’s habitat and adaptive characteristics. Also, it is assumed that some of the animals in S1 could live in more than one habitat in S2.