@inproceedings{nfonsang-lovelace-2026-synthetic,
title = "Do Synthetic Students Thrive? Validity and Fairness of Generated Assessment Data",
author = "Nfonsang, Neba and
Lovelace, Temple",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting-Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Works in Progress",
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-wip.57/",
pages = "459--463",
ISBN = "979-8-9983004-1-7",
abstract = "Synthetic assessment data may reproduce response distributions while failing to preserve underlying construct structure. Using a retrieval-augmented generation (RAG) pipeline and a stratified majority Black and Latinx student sample, we evaluated synthetic responses using distributional and psychometric measures. Results highlight the importance of psychometric preservation alongside distributional similarity."
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%0 Conference Proceedings
%T Do Synthetic Students Thrive? Validity and Fairness of Generated Assessment Data
%A Nfonsang, Neba
%A Lovelace, Temple
%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 nfonsang-lovelace-2026-synthetic
%X Synthetic assessment data may reproduce response distributions while failing to preserve underlying construct structure. Using a retrieval-augmented generation (RAG) pipeline and a stratified majority Black and Latinx student sample, we evaluated synthetic responses using distributional and psychometric measures. Results highlight the importance of psychometric preservation alongside distributional similarity.
%U https://aclanthology.org/2026.aimecon-wip.57/
%P 459-463
Markdown (Informal)
[Do Synthetic Students Thrive? Validity and Fairness of Generated Assessment Data](https://aclanthology.org/2026.aimecon-wip.57/) (Nfonsang & Lovelace, AIME-Con 2026)
ACL