Paper

{
  "raw_xml": "<entry>\n    <id>http://arxiv.org/abs/2603.04001v1</id>\n    <title>STEM Faculty Perspectives on Generative AI in Higher Education</title>\n    <updated>2026-03-04T12:46:26Z</updated>\n    <link href='https://arxiv.org/abs/2603.04001v1' rel='alternate' type='text/html'/>\n    <link href='https://arxiv.org/pdf/2603.04001v1' rel='related' title='pdf' type='application/pdf'/>\n    <summary>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.</summary>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.CY'/>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.AI'/>\n    <published>2026-03-04T12:46:26Z</published>\n    <arxiv:comment>Accepted at AAAI 2026 Spring Symposium - Will AI Light Up Human Creativity or Replace It?: Toward Well-Being AI for co-evolving human and machine intelligence</arxiv:comment>\n    <arxiv:primary_category term='cs.CY'/>\n    <author>\n      <name>Akila de Silva</name>\n    </author>\n    <author>\n      <name>Isabel Hyo Jung Song</name>\n    </author>\n    <author>\n      <name>Hui Yang</name>\n    </author>\n    <author>\n      <name>Shah Rukh Humayoun</name>\n    </author>\n  </entry>"
}