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://preview.aclanthology.org/ingest-emnlp/2025.aimecon-main.35/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-emnlp/2025.aimecon-main.35.pdf