Undergraduate Students’ Appraisals and Rationales of AI Fairness in Higher Education

Victoria Delaney, Sunday Stein, Lily Sawi, Katya Hernandez Holliday


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.
Anthology ID:
2025.aimecon-main.35
Volume:
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
Month:
October
Year:
2025
Address:
Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
Editors:
Joshua Wilson, Christopher Ormerod, Magdalen Beiting Parrish
Venue:
AIME-Con
SIG:
Publisher:
National Council on Measurement in Education (NCME)
Note:
Pages:
329–336
Language:
URL:
https://aclanthology.org/2025.aimecon-main.35/
DOI:
Bibkey:
Cite (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).
Cite (Informal):
Undergraduate Students’ Appraisals and Rationales of AI Fairness in Higher Education (Delaney et al., AIME-Con 2025)
Copy Citation:
PDF:
https://aclanthology.org/2025.aimecon-main.35.pdf