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ERIC Number: EJ954037
Record Type: Journal
Publication Date: 2012-Feb
Pages: 6
Abstractor: As Provided
Reference Count: N/A
ISSN: ISSN-1041-6080
Using Automatic Item Generation to Meet the Increasing Item Demands of High-Stakes Educational and Occupational Assessment
Arendasy, Martin E.; Sommer, Markus
Learning and Individual Differences, v22 n1 p112-117 Feb 2012
The use of new test administration technologies such as computerized adaptive testing in high-stakes educational and occupational assessments demands large item pools. Classic item construction processes and previous approaches to automatic item generation faced the problems of a considerable loss of items after the item calibration phase. In this paper a two-component approach to automatic item generation--the automatic min-max approach--is suggested to resolve parts of this problem "during" the item construction process itself. The procedural framework of this approach is outlined using number series problems as an example. Two studies were conducted to evaluate the psychometric quality of the automatically generated items using explanatory and descriptive item response theory models. The results indicated that the two-component item construction process has been successful in generation an item pool of construct-valid number series items with known psychometric characteristics with no item loss after the calibration phase. (Contains 2 figures and 3 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A