Generative AI (GenAI) and Student Equity in Higher Education: Unpacking Uneven Impacts Across Equity Cohorts

Supervisor

This project investigates how generative AI (GenAI) technologies may unevenly impact students from equity cohorts in higher education. Drawing on critical theory and social constructivism, the study explores how GenAI can both enhance and hinder access, engagement, and inclusion for students from non-English speaking backgrounds, students with disabilities, First Nations students, students from low socioeconomic status backgrounds, women in non-traditional disciplines, and students from regional or remote areas. Through an anonymous cross-institutional survey of student-facing staff across four Australian universities, the research will identify barriers, enablers, and ethical considerations in GenAI adoption. Findings will inform the development of inclusive guidelines and personas contributing to institutional policy and professional practice.

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