What's Working? AI Assessment Transformation in Practice
Join us for a collaborative conversation that will explore how UQ academics are changing their assessment practices in response to AI.
Academics will share current examples of assessment transformation in practice and the challenges and opportunities they have encountered along the way.
Attendees will have the opportunity to share practices, ask questions and exchange ideas.
Presenter: Dr Louise Ainscough, Senior Lecturer & HEA Fellow, The School of Biomedical Sciences
Empowering students to learn with AI
This presentation describes how a long-form written assessment was redesigned in response to genAI. Students were given the choice to decide whether and how to use genAI during the assignment process. Alongside the written assignment, students submitted a reflective task describing their actions during the assignment's preparation, construction and finalising stages, including when and how they used genAI. The reflective task was graded against a rubric that emphasised ownership of work, and demonstrated opportunities for developing knowledge and skills. Example reflections with high and low rubric marks were provided to guide students. Students who used genAI scored similarly on the written assignment but lower on the reflective task. This redesign gave students agency and encouraged them to think deeply about how to effectively use genAI to support learning.
Presenter: Dr Ryan Williams, Senior Lecturer in Religious Studies, Director of Teaching & Learning, School of Historical and Philosophical Inquiry
What is Leadership in a Polarised World? Learning the Anatomy of Conflict and Social Cohesion
Polarised and divisive speech is increasingly the norm in politics and public forums. This talk will outline a learning task that enables students to critically analyse the anatomy of conflict and social cohesion by using an empirically validated coding tool made accessible with the assistance of LLMs. Students analyse generated outputs and place divisive and cohesive forms of speech in context, developing skills in understanding the social effects of language and the value of recognising alternative perspectives – skills that are of crucial importance for leadership in a polarised world.
About Lead through Learning (2025-2027)
This series of events supports Lead through Learning (2025-2027)—our whole-of-University strategy addressing the rapid rise of artificial intelligence in education.
The strategy has 2 main goals:
- Preparing students for responsible AI use. Equipping students with ethical, practical AI skills they can use in their studies, careers, and communities, and preparing them to lead and shape the future of AI integration in their fields.
- Maintaining the integrity of the learning process. Ensuring that academic standards are upheld through secure and credible assessment practices.