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This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-06-10 and was most recently seen on 2026-06-10.
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 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. So, instead of a test specialist writing each individual item, computer algorithms generate families of items from a smaller set of parent item models. More recently, neural networks, including Large Language Models, such as the GPT family, have been used successfully for generating items automatically.
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