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        <title>Production-Ready Automated Item Generation in Educational Assessment: Integration with Operational Workflows</title>
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    <abstract>We present a production-ready automated item generation pipeline integrated into a large-scale assessment program’s workflows. A one-shot approach prompts LLMs from an operational source item and existing guidelines, then populates metadata, screens quality, and uploads items for human review. Generated items passed expert review, and difficulty prompting reliably shifted difficulty.</abstract>
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%0 Conference Proceedings
%T Production-Ready Automated Item Generation in Educational Assessment: Integration with Operational Workflows
%A Maeda, Hotaka
%A Chauhan, Kargi
%A Chandrashekar, Tharunya
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F maeda-etal-2026-production
%X We present a production-ready automated item generation pipeline integrated into a large-scale assessment program’s workflows. A one-shot approach prompts LLMs from an operational source item and existing guidelines, then populates metadata, screens quality, and uploads items for human review. Generated items passed expert review, and difficulty prompting reliably shifted difficulty.
%U https://aclanthology.org/2026.aimecon-wip.17/
%P 130-139

Markdown (Informal)

[Production-Ready Automated Item Generation in Educational Assessment: Integration with Operational Workflows](https://aclanthology.org/2026.aimecon-wip.17/) (Maeda et al., AIME-Con 2026)

• Production-Ready Automated Item Generation in Educational Assessment: Integration with Operational Workflows (Maeda et al., AIME-Con 2026)

ACL

• Hotaka Maeda, Kargi Chauhan, and Tharunya Chandrashekar. 2026. Production-Ready Automated Item Generation in Educational Assessment: Integration with Operational Workflows. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 130–139, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).