Charting the way upward: Collaborative research on navigating Generative AI in higher education

This paper provides an overview of the findings from the Ithaka S+R-led collaborative research project “Making AI Generative for Higher Education,” and the findings specific to Stony Brook University, one of the collaborators in this project. Collaborators interviewed instructors and researchers at universities across the United States and Canada, asking them how they were using AI in teaching and research, as well as the associated challenges they were facing. Usage levels and perceptions of AI varied widely across interviewees, with most usage limited and experimental as instructors and researchers continue to identify the most productive long-term ways to integrate AI into their work. Our study also shed light on instructor and research support needs in relation to AI, with training opportunities, chances to learn from peers, secure access, and computational infrastructure among the common demands. This paper summarizes the presentation given by the authors at the NISO Plus conference in February 2025.

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Journal
Information Services & Use
Published
2026-03-27
DOI
https://doi.org/10.1177/18758789261435734
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Charting the way upward: Collaborative research on navigating Generative AI in higher education

John D. FitzGerald, Claire Baytas, Mona Ramonetti
Information Services & Use
Intelligent Tutoring Systems and Adaptive Learning
article

Charting the way upward: Collaborative research on navigating Generative AI in higher education

John D. FitzGerald, Claire Baytas, Mona Ramonetti
article en

Abstract

This paper provides an overview of the findings from the Ithaka S+R-led collaborative research project “Making AI Generative for Higher Education,” and the findings specific to Stony Brook University, one of the collaborators in this project. Collaborators interviewed instructors and researchers at universities across the United States and Canada, asking them how they were using AI in teaching and research, as well as the associated challenges they were facing. Usage levels and perceptions of AI varied widely across interviewees, with most usage limited and experimental as instructors and researchers continue to identify the most productive long-term ways to integrate AI into their work. Our study also shed light on instructor and research support needs in relation to AI, with training opportunities, chances to learn from peers, secure access, and computational infrastructure among the common demands. This paper summarizes the presentation given by the authors at the NISO Plus conference in February 2025.

Information Services & Use
Ithaka Harbors (US), California Digital Library (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Intelligent Tutoring Systems and Adaptive Learning
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Charting the way upward: Collaborative research on navigating Generative AI in higher education — John D. FitzGerald, Claire Baytas, et al. · Information Services & Use (2026) | TGRS Research Map | TGRS