@inproceedings{delaney-etal-2025-undergraduate,
title = "Undergraduate Students' Appraisals and Rationales of {AI} Fairness in Higher Education",
author = "Delaney, Victoria and
Stein, Sunday and
Sawi, Lily and
Hernandez Holliday, Katya",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
month = oct,
year = "2025",
address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2025.aimecon-main.35/",
pages = "329--336",
ISBN = "979-8-218-84228-4",
abstract = "To measure learning with AI, students must be afforded opportunities to use AI consistently across courses. Our interview study of 36 undergraduates revealed that students make independent appraisals of AI fairness amid school policies and use AI inconsistently on school assignments. We discuss tensions for measurement raised from students' responses."
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%0 Conference Proceedings
%T Undergraduate Students’ Appraisals and Rationales of AI Fairness in Higher Education
%A Delaney, Victoria
%A Stein, Sunday
%A Sawi, Lily
%A Hernandez Holliday, Katya
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F delaney-etal-2025-undergraduate
%X To measure learning with AI, students must be afforded opportunities to use AI consistently across courses. Our interview study of 36 undergraduates revealed that students make independent appraisals of AI fairness amid school policies and use AI inconsistently on school assignments. We discuss tensions for measurement raised from students’ responses.
%U https://aclanthology.org/2025.aimecon-main.35/
%P 329-336
Markdown (Informal)
[Undergraduate Students’ Appraisals and Rationales of AI Fairness in Higher Education](https://aclanthology.org/2025.aimecon-main.35/) (Delaney et al., AIME-Con 2025)
ACL
- Victoria Delaney, Sunday Stein, Lily Sawi, and Katya Hernandez Holliday. 2025. Undergraduate Students’ Appraisals and Rationales of AI Fairness in Higher Education. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 329–336, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).