Generative AI in Higher Education: Evidence from an Elite College
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
More than 70% of higher education students have utilised GenAI or comparable applications for academic reasons.
“More than 70% of higher education students have utilised GenAI or comparable applications for academic reasons, underscoring the prevalence of AIassisted learning (Maxwell et al., 2025;Reyes & Contractor, 2025).”
From <b>Beyond Access: Socioeconomic, Academic and Disciplinary Determinants of Generative AI Use in Higher Education</b> (2026) · cites this paper as Reyes & Contractor, 2025
Cites
Brynjolfsson, E., Li, D., & Raymond, L. (2025) · The Quarterly Journal of Economics · doi:10.1093/qje/qjae044 · Cited by 1,083 · see citing works
Stöhr, C., Ou, A. W., & Malmström, H. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100259 · Cited by 319 · see citing works
Generative AI without guardrails can harm learning: Evidence from high school mathematics
Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2422633122 · Cited by 309 · see citing works
Kelly, A., Sullivan, M., & Strampel, K. (2023) · Journal of University Teaching and Learning Practice · doi:10.53761/1.20.6.12 · Cited by 177 · see citing works
Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
Humlum, A., & Vestergaard, E. (2025) · doi:10.3386/w33777 · Cited by 34 · see citing works
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Zafar, S., Shaheen, F., & Khan, S. A. (2026) · Journal of Political Stability Archive · doi:10.63468/jpsa.4.2.17
- Authors
- Reyes, G., & Contractor, Z.
- Affiliations
- Middlebury College (US)
- Yale University (US)
- Corresponding author
- Reyes, Germán
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2025
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4412934993
- Cited by
- 3
- References
- 5
- Citations by year
- 2026: 3
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Keywords
- generative AI, ChatGPT, higher education, educational inequality, disciplinary differences, student demographics, academic performance, student perceptions of AI, institutional AI policies, indirect discrimination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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