Join presenters Dr Aaron Tkacnzynski and Amy Templar for the next What's Working? AI Assessment Transformation in Practice session.

Dr Aaron Tkacnzynski's working session showcases the innovative practice of how students can by courageous thinkers by utilise Microsoft Co-Pilot to develop an Artificial Intelligence poster with a virtual influencer as an output of part of targeted integrated marketing integrated plan to environmentally focused tourists. Through using Microsoft Pilot, students can put the theories and strategies proposed in their main infographic into a targeted and visually appealing output that students can use in future employment or study.

Amy Templar's presentation will explore the question "What can you do with assessment, when you don't want to secure learning with an exam?"

As secure assessment becomes a larger part of university assessment, it can be easy to see it as something that has been done to us, another requirement to navigate, another overwhelming competing demand. Instead this session invites a different perspective: what if secure assessment became the platform for creating something better, an opportunity and foundation to make courses into something a little different and more meaningful.

Necessity is the mother of invention. Rather than asking how to replace an exam, Amy's conversation will explore what assessment can look like when you're brave enough to think beyond what learning traditionally looks like at a university and risk designing learning through assessment in a different way.

There will be reflections from redesigning a course, discussion on how iterative assessment can strengthen student progress, build rapport and belonging, bring more joy back into teaching, and provide opportunities to adapt learning needs in real time. There will conversation about what tools and resources helped support this (Gradescope, Tutors, LD's), and an honest conversation about the challenges, what didn’t work well, what changes are being made moving forward and why looking beyond exams can create benefits for both students and educators.

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.