[2603.04001] STEM Faculty Perspectives on Generative AI in Higher Education

Computer Science > Computers and Society arXiv:2603.04001 (cs) [Submitted on 4 Mar 2026] Title:STEM Faculty Perspectives on Generative AI in Higher Education Authors:Akila de Silva, Isabel Hyo Jung Song, Hui Yang, Shah Rukh Humayoun View a PDF of the paper titled STEM Faculty Perspectives on Generative AI in Higher Education, by Akila de Silva and 3 other authors View PDF HTML (experimental) Abstract:Generative artificial intelligence (GenAI) tools are increasingly present in higher education, yet their adoption has been largely student-driven, requiring instructors to respond to technologies already embedded in classroom practices. While some faculty have embraced GenAI for pedagogical purposes such as content generation, assessment support, and curriculum design, others approach these tools with caution, citing concerns about student learning, assessment validity, and academic integrity. Understanding faculty perspectives is therefore essential for informing effective pedagogical strategies and institutional policies. In this paper, we present findings from a focus group study with 29 STEM faculty members at a large public university in the United States. We examine how faculty integrate GenAI into their courses, the benefits and challenges they perceive for student learning, and the institutional support they identify as necessary for effective and responsible adoption. Our findings highlight key patterns in how STEM faculty engage with GenAI, reflecting both active ado...