Charting the way upward: Collaborative research on navigating Generative AI in higher education
Year: 2026
Type: article
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.
Source: Information Services & Use
Authors: Claire Baytas, John Fitzgerald, Mona Ramonetti
Institutions: Ithaka S+R, Stony Brook University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7141324439