As generative AI tools continue to evolve, we’re working with colleges and universities to navigate the impacts of AI on teaching, learning, and research. Our cohort projects create space for collaboration and peer-to-peer learning, empower institutions with the research-backed insights to inform decision-making, and help participants create actionable plans to suit their campus needs.
We’ve worked with academic libraries, teaching and learning centers, and college administrators across more than 60 institutions, and led cohorts focused on integrating AI literacy into the curricula, teaching and learning with AI, and making AI generative for higher education.
Explore the current open opportunities below. To learn about future cohorts and our ongoing research on AI in higher education, please fill out this form:
Current opportunities
AI-Ready Assessment: A Collaborative Cohort for Faculty Developers
How should faculty assess student learning in the age of AI? Our AI-Ready Assessment cohort will work with centers of teaching and learning, and other units responsible for supporting faculty with the pedagogical needs, to develop practical resources and strategies to support teaching in an AI-mediated learning environment.
Over the course of 12 months, participants will work with Ithaka S+R experts and researchers to investigate how Gen AI impacts the creation of assignments, the corresponding assessment of student learning, and how faculty can and should respond to this changing educational environment.
AI, Accreditation, and Research Integrity: A Cohort for Research Universities
We’re launching a new collaborative initiative to help 12-15 research universities develop robust policies and governance structures around research integrity and AI, which could become a requirement of accreditation as soon as July 2027.
With guidance and support from Ithaka S+R experts Dr. Catharine Bond Hill and Dr. Dylan Ruediger, participants will conduct an audit of existing policies, learn directly from instructors on their campus, and pilot a faculty-facing support prototype to create a foundation for future scaling of support services related to research integrity.
“As a regional community-engaged institution, it was great to work with much larger and research-focused institutions, both nationally and internationally. With a student population made up of non-traditional students, working adults, and first-generation college students, UBalt brought a unique perspective on AI in practice. This cohort gave us the opportunity to forge ahead and create an evidence-based pathway to approach AI, and that process continues to drive our AI journey today.”
— Jessica Stansbury, Director of Teaching & Learning Excellence, University of Baltimore