Generative AI in higher education: A cross-institutional study on faculty preparation and resources
Armanto Sutedjo, Stephanie Peitseng Liu, Mahjabin Chowdhury
Abstract
The release of ChatGPT in 2022 sparked widespread adoption of generative AI (GAI) in higher education, leading to significant shifts in teaching and learning practices. This study examines how universities are supporting faculty in integrating GAI, focusing on available guidelines, institutional positions on GAI adoption, and resources to aid faculty in teaching with GAI. There is limited research analyzing and comparing approaches across multiple institutions. Using qualitative thematic analysis followed by quantitative review, resources from fifteen research-intensive universities in North America were analyzed to identify the extent and variety of institutional support for the implementation of GAI in higher education. Findings reveal a strong emphasis on ethical guidelines and teaching resources, primarily provided through central offices such as those of the Provost and the Center for Teaching and Learning. Most institutions offer informational articles and professional development opportunities, though there is limited access to interactive resources like open forums or research-focused support. These results highlight a cautious yet supportive stance from institutions, balancing regulatory guidance with encouragement for responsible GAI use. This study provides insights for higher education leaders seeking to enhance faculty support in the age of GAI, offering a framework for more comprehensive, adaptable, and collaborative GAI integration.Keywords: Generative AI in education; faculty support; higher education policy; GAI integration; institutional resourcesPart of the Special Issue Generative AI and education <https://doi.org/10.21428/8c225f6e.0390b853>