The University of New Mexico announces a collaborative effort between three units - University Libraries, Health Sciences & Informatics Center and the Center for Teaching and Learning. Together, they have teamed up with Ithaka S+R, a not-for-profit research and consulting service, to conduct a comprehensive study on the impact of Generative Artificial Intelligence (AI) technologies on teaching, learning and research practices.

The UNM research team is actively seeking faculty members from main, Health Sciences and branch campuses with instruction and research responsibilities to participate in one-hour interviews. These interviews will provide valuable insights into the diverse ways in which Generative AI is utilized and applied across various disciplines.

By participating in this study (HRRC ID# 23-378), faculty members have the opportunity to contribute to the development of institution-specific strategies for the broader implementation of generative AI on campuses. The information gathered will be instrumental in understanding how UNM can best support instructors and researchers in navigating the dynamic landscape of AI technologies.

“As we embark on this exploratory journey, our goal is on empowering the UNM community to learn and harness the potential of generative AI in academia,” Leo Lo, dean of the College of University Libraries and Learning Sciences commented. “This study is more than just about technology; it is about shaping the future of education in a world increasingly influenced by AI. We are keenly interested in gathering insights from our faculty members, whose experiences are vital for understanding how AI technologies can enhance and evolve our teaching and learning practices."

Announced in July 2023, this cross-campus initiative is part of a broader undertaking involving approximately 20 institutions of higher education in the United States and Canada. The program, coordinated by Ithaka S+R, aims to build a large dataset on generative AI and higher education.

Todd Quinn, associate professor, and Laura J. Hall, lecturer III, will serve as Principal Investigators for this project. Faculty members interested in sharing their unique experiences and perspectives on Generative AI are encouraged to complete the form below so they may contact you directly to schedule a one-hour interview.

Interview recruitment form:

Contact either PI if you have questions.