STEM Faculty Perspectives on Generative AI in Higher Education

Fuente: arXiv
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Autori principali: de Silva, Akila, Song, Isabel Hyo Jung, Yang, Hui, Humayoun, Shah Rukh
Natura: Preprint
Pubblicazione: 2026
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author de Silva, Akila
Song, Isabel Hyo Jung
Yang, Hui
Humayoun, Shah Rukh
author_facet de Silva, Akila
Song, Isabel Hyo Jung
Yang, Hui
Humayoun, Shah Rukh
contents 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 adoption and cautious use. Faculty described a range of pedagogical applications alongside concerns about student learning, assessment, and academic integrity. Overall, the results suggest that effective integration of GenAI in higher education requires rethinking assessment, pedagogy, and institutional governance in addition to technical adoption.
format Preprint
id arxiv_https___arxiv_org_abs_2603_04001
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle STEM Faculty Perspectives on Generative AI in Higher Education
de Silva, Akila
Song, Isabel Hyo Jung
Yang, Hui
Humayoun, Shah Rukh
Computers and Society
Artificial Intelligence
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 adoption and cautious use. Faculty described a range of pedagogical applications alongside concerns about student learning, assessment, and academic integrity. Overall, the results suggest that effective integration of GenAI in higher education requires rethinking assessment, pedagogy, and institutional governance in addition to technical adoption.
title STEM Faculty Perspectives on Generative AI in Higher Education
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2603.04001