From inquiry to insight: Cultivating local conversations on GenAI
Year: 2025
Type: article
Study design: Observational Study
Abstract: Emerging literature on faculty and student uses of generative AI (GenAI) tools shows that institutional factors like levels of adoption, demographics of students and faculty, institutional type, and institutional culture around GenAI can significantly impact perceptions and behaviors. This article argues that educational developers should collect local data to enhance their understanding of institutional behaviors and perceptions of GenAI in addition to reading national research. Aside from sharing data from a survey distributed to students (n=504) and faculty (n=281) across three campuses (two residential and one online) of a STEM-focused private university, this article explains how data informed CTL and professional training related to GenAI. Overall, this article models a replicable, locally tailored, and data-driven approach to GenAI professional development and adds to existing knowledge of student and faculty perceptions and use of GenAI tools.
Source: To improve the academy
DOI: 10.3998/tia.7361
Authors: Chad Rohrbacher, Amy Cicchino, Alyssa DeNaro, Joshua Caulkins
Institution: Embry–Riddle Aeronautical University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4415128369