CDWI webinar – AI in Higher Education: The use of generative AI tools by university staff

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The Centre for Decent Work and Industry is hosting Prof Abby Cathcart and Prof Paula McDonald for a QUT-wide webinar on Thursday 26th September.

Abstract

In this webinar, Abby and Paula will present the findings from a recent National Survey of Generative AI in Higher Education. The presentation will focus on responses from QUT staff with some comparisons across the national data set. The survey targeted all staff categories at QUT, including academic, professional, senior, and sessional staff, revealing a comprehensive overview of AI use across the university. Quantitative and qualitative findings will be presented, including the range and frequency of AI tools used by staff, the kinds of tasks enabled by AI across research, teaching and administration domains; staff perspectives on the efficiency, transparency and ethics of AI in a University context; and views on current policies and guidelines.

Seminar details

Date: Thursday 26 September 2024
Time: 3.00pm to 4.00pm (AEST)
Location: Online
RSVP: Note that this seminar is for QUT staff only. To watch the seminar online, register here.

Presenters

Abby CathcartAbby Cathcart is Director of Student Success and Teaching Advancement, and Professor of Governance and Higher Education, QUT. Abby’s portfolio includes Learner Experience & Evaluation, Student Retention, Language, STEM and Learning Support, Academic Development and Recognition, and Career Development and Employability.

Her research expertise includes organisational democracy, social justice and learning technologies, and early career academic development.

 

Paula McDonaldPaula McDonald is Professor of Work & Organisation and Pro Vice Chancellor, Research at QUT. She has worked closely with organisations in the public, private and community sectors on collaborative research which advances social justice in and beyond the workplace.

Her research expertise spans youth employment; technology and work (digital platform work; automation and AI); vulnerable worker groups; public/private boundaries; and gendered dimensions of work.

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