@inproceedings{egan-tang-2026-human,
title = "Human{--}{AI} Collaboration in Educational Measurement: Transforming Assessment Data into Educational Action",
author = "Egan, Laura C. and
Tang, Judy H.",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Coordinated Session Papers",
month = oct,
year = "2026",
address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2026.aimecon-sessions.23/",
pages = "219--224",
ISBN = "979-8-9983004-2-4",
abstract = "This paper describes a framework for human{--}AI collaboration in educational measurement that connects four workflow components. The framework integrates educational measurement and responsible AI principles, emphasizing AI tools as support for human expertise. Illustrative applications demonstrate how human{--}AI collaboration can strengthen assessment processes while maintaining measurement quality and integrity."
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%0 Conference Proceedings
%T Human–AI Collaboration in Educational Measurement: Transforming Assessment Data into Educational Action
%A Egan, Laura C.
%A Tang, Judy H.
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-2-4
%F egan-tang-2026-human
%X This paper describes a framework for human–AI collaboration in educational measurement that connects four workflow components. The framework integrates educational measurement and responsible AI principles, emphasizing AI tools as support for human expertise. Illustrative applications demonstrate how human–AI collaboration can strengthen assessment processes while maintaining measurement quality and integrity.
%U https://aclanthology.org/2026.aimecon-sessions.23/
%P 219-224
Markdown (Informal)
[Human–AI Collaboration in Educational Measurement: Transforming Assessment Data into Educational Action](https://aclanthology.org/2026.aimecon-sessions.23/) (Egan & Tang, AIME-Con 2026)
ACL