Should I attend?
This course is designed for educators from Australian higher education and secondary schools. It suits classroom teachers, lecturers, course coordinators, curriculum designers, academic developers, and educational leaders who want a practical, evidence-based foundation for navigating AI in their professional context. No prior technical knowledge of AI is required.
How will I benefit?
You will gain:
• A grounded understanding of generative AI to make informed decisions
• Practical frameworks for redesigning assessment and learning activities in response to AI
• A personal portfolio of artefacts you can apply directly to your teaching context
• A clearer sense of your own professional values and how they guide your use (or non-use) of AI
• Confidence to contribute to institutional AI conversations from a position of knowledge
How will your organisation benefit?
Your organisation will gain:
• Educators equipped to make sound, context-sensitive decisions about AI in teaching and assessment
• Practical strategies for protecting academic integrity without relying solely on detection tools
• Staff who can contribute meaningfully to institutional AI policy and curriculum review processes
• A shared professional language for discussing AI risks, opportunities, and ethical responsibilities across teams
Who are the instructors?
Dr Ruby-Ngoc Nguyen
Ruby is a learning designer, researcher, and Senior Fellow of the Higher Education Academy (AdvanceHE) whose work focuses on generative AI in education, assessment redesign, and academic professional development. She holds a PhD in Education and Media from the University of Adelaide and holds a strong publishing record in peer-review journals around media technologies and AI technology integration in education. Ruby has designed and delivered a range of AI-in-education professional development at both Adelaide University and the University of Sydney, where she guided educators in AI-age assessment redesign aligned with TEQSA standards and collaborated on building custom AI agents across diverse teaching contexts. She also holds a Diploma of Counselling, which deepens her understanding of the affective dimensions of teaching and learning.
Tom Crichton
Tom is a learning designer and educational technologist, focused on the delivery of professional learning for educators at Adelaide University. His work spans generative AI in education, learning experience design, assessment design, and educational technology strategy. He has led teams delivering AI and information literacy programs, contributed to institutional AI and educational technology initiatives, and facilitated workshops for educators at all career stages. Previously, Tom worked as a strategic innovation adviser outside the education sector, an experience that shaped how he navigates the frontier between established and emerging practice. His background in philosophy and political theory informs a critical orientation to generative AI’s role in education, one that considers its pedagogical opportunities alongside its ethical, epistemic, and practical risks.
Course Fee
$850.00
Course format
This course has two components:
1. Online modules (self-paced, approximately 8 hours total). You will independently complete five online modules before the Peer Studio. You will work through the content at your own pace and build a professional portfolio of five artefacts: a context map, a position statement, a redesigned assessment, a learning activity sequence, and a personal action plan. The online modules provide the foundation for all Peer Studio activities.
2. Online Peer Studio (5 hours including breaks). The Peer Studio is a real-time structured peer session conducted over Zoom. You will share portfolio artefacts, give and receive feedback, test your thinking against colleagues from different contexts, and refine your action plan. A completed portfolio will support your full participation.
Course access opens a minimum of three weeks before the workshop date to allow sufficient time to complete all five modules.
To enrol, click on "Next" to see the next available course dates.