This page contains resources to support institutions, staff and students in considering the potential impacts and benefits generative artificial intelligence (gen AI) tools pose for teaching, learning and assessment. TEQSA understands the uniqueness of each provider’s circumstances and therefore offers the following case studies and resources as examples of approaches being taken, both in Australia and beyond, for consideration. The resources on this page are not intended as guidance but rather seek to share approaches and practice.
- Gen AI - TEQSA resources webpage.
- Adapting assessment in the age of generative AI: The assessment adaptation model (Professor Ruth Greenaway, Dr Zachery Quince, Dr Joanne Munn, Southern Cross University)
- Don’t be sorry, just declare it: Promoting academic integrity and securing the essay in the age of gen AI (Benito Cao, The University of Adelaide)
- Partnering for change: Ethical gen AI use and ensuring integrity in assessment transformation (Tanya Henry and Associate Professor Christine Slade, Institute for Teaching and Learning Innovation, The University of Queensland)
- Principles for criteria and standards in assessment for gen AI use (Dom McGrath, The University of Queensland)
- AAIN Generative artificial intelligence guidelines (Australasian Academic Integrity Network) (PDF, 237 KB) (1 March 2023)
- Academic integrity in the context of artificial intelligence (ICMS) (3 March 2023)
- AI and assessment (Monash University) (4 April 2023)
- AI-powered pedagogy: Generative AI as a learning assistant in the ICT discipline (CQUniversity) (11 March 2025)
- An educational approach to generative AI (UTS College) (PDF, 7 MB) (18 July 2025)
- Artificial intelligence content generators in education for schools and universities: A good practice guide (University of Wollongong in Dubai) (PDF) (1 February 2023)
- Artificial intelligence for teaching and learning in higher education (University of South Australia) (12 March 2024)
- Assurance of learning in fully online credentialled programs: A briefing paper for the Australian higher education sector (Curtin University) (December 2025)
- Embedding generative AI in curriculum: The SAGE framework and evidence-based implementation guide (Central Queensland University) (January 2026)
- Gen AI and the essay: Evaluating task specificity and rubric alignment (The University of Melbourne) (PDF)
- How AI can be used meaningfully by teachers and students in 2023 (The University of Sydney) (20 January 2023)
- Next steps for GenAI and assessment reform at UTS: A response to TEQSA (The University of Technology, Sydney) (September 2024)
- Rethinking assessment in response to AI (The University of Melbourne) (PDF) (1 July 2023)
- S.E.C.U.R.E. GenAI use framework for staff (Charles Sturt University) (2025)
- Summary of institutional responses to the use of Generative Artificial Intelligence (Australasian Academic Integrity Network) (PDF, 417 KB) (1 May 2023)
- The AI assessment Venn: Outcome context method framework (RMIT University) (PDF) (June 2025)
- What to do about assessments if we can't out-design or out-run AI? (The University of Sydney) (12 July 2023)
- AI in higher education: Resource hub (Contact North/Nord, Canada) (4 April 2023)
- [White paper] Generative AI in higher education: Current practices and ways forward (Association of Pacific Rim Universities) (14 January 2025)
Gen AI knowledge hub