Artificial Intelligence in Graduate Admissions

Friday, April 25, 2025

1:30 PM - 2:30 PM PT

Approach: Operational
Level: Intermediate

Author(s)

Katie A. Bourassa, MS

Associate Director of Graduate Admissions
University of Wisconsin-Madison
Madison, Wisconsin, United States

Handouts
Heidi Arbisi-Kelm, MA in Student Affairs (she/her/hers)

Assistant Dean for Academic Affairs
University of Iowa
Iowa City, Iowa, United States

Presenter(s)

Patricia Pothour, MS

Director of Enrollment Management
Tippie College of Business--University of Iowa
Iowa City, Iowa, United States
Melissa Sersland, MS (she/her/hers)

Director of Admissions and Recruitment
Northwestern University, The Graduate School
Buffalo Grove, Illinois, United States
Elizabeth Spark, PhD (she/her/hers)

Assistant Dean for Graduate Admissions and Enrollment
University of Illinois Urbana-Champaign Graduate College
Champaign, Illinois, United States
Dean Tsantir, MA (he/him/his)

Executive Director of Graduate Admissions
University of Minnesota - Twin Cities, Minnesota, United States
Caitlin Biddulph, EdD (she/her/hers)

Director of Admissions
University of Oregon Lundquist College of Business
LH

Lori Hawn
Donna Huprich

Director of Admissions, Academic Records & Dissertations
University of Michigan, Rackham Graduate School, Michigan, United States
JM

Jennifer Marinello, MEd (she/her/hers)

Director
Graduate & Prof Admissions The Ohio State University, Ohio, United States
Jennifer Nyeste Hoyt, EdM

Director of Graduate Admissions
Rutgers University-New Brunswick, United States
Anne Sparks, MA (she/her/hers)

Graduate Student Affairs Manager
University of Iowa
Iowa City, Iowa, United States

Overview: Artificial intelligence is so new that its incorporation into works spaces and best practices havn’t been uniformly defined or adopted. For artificial intelligence in graduate admissions, there are two intended audiences graduate admissions staff and applicants. In regards to graduate admissions staff, this session will focus on identifying opportunities to use AI to streamline processes, reduce busywork, and analyzing data. We will spend time sharing ideas of what we have implemented in our own offices and how effective those implementations may be. In regards to applicants, we will have time to workshop guidelines for applicants on acceptable AI use in applications. We will ask for attendees to share any guidance their universities or programs already in use.