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Automatic item generation information


Automatic item generation (AIG), or automated item generation, is a process linking psychometrics with computer programming. It uses a computer algorithm to automatically create test items that are the basic building blocks of a psychological test. The method was first described by John R. Bormuth[1] in the 1960s but was not developed until recently. AIG uses a two-step process: first, a test specialist creates a template called an item model; then, a computer algorithm is developed to generate test items.[2] So, instead of a test specialist writing each individual item, computer algorithms generate families of items from a smaller set of parent item models.[3][4][5]

  1. ^ Bormuth, J. (1969). On a theory of achievement test items. Chicago, IL: University of Chicago Press.
  2. ^ Gierl, M.J., & Haladyna, T.M. (2012). Automatic item generation, theory and practice. New York, NY: Routledge Chapman & Hall.
  3. ^ Cite error: The named reference Blum, Holling was invoked but never defined (see the help page).
  4. ^ Glas, C.A.W., van der Linden, W.J., & Geerlings, H. (2010). Estimation of the parameters in an item-cloning model for adaptive testing. In W.J. van der Linden, & C.A.W. Glas (Eds.). Elements of adaptive testing (pp. 289–314). DOI: 10.1007/978-0-387-85461-8_15.
  5. ^ Gierl, M.J., & Lai, H. (2012). The role of item models in automatic item generation. International Journal of testing, 12(3), 273–298. DOI: 10.1080/15305058.2011.635830.

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