The rise of generative AI tools has resulted in a sector-wide focus on their impact on assessment design and academic integrity, but these tools present both opportunities and challenges across all aspects of Education.
On this page you will find links to guidance, practical tools and good practice case studies to help future-proof your assessment design. You will also find links to a broader range of resources to support students to utilise generative AI in a way that is safe, transparent and maintains academic integrity.
This page and the links from it are a work-in-progress and will continue to be developed as this area evolves.
What is generative AI?
Learn more about generative AI with our short introduction to its capabilities, some of the tools you may encounter and some of the opportunities and challenges it offers.
Assessment design & academic integrity
How should we approach assessment design in a world of rapidly changing AI tools, and how do we continue to encourage academic integrity?
AI in learning & teaching
How can generative AI assist you in designing, delivering and supporting teaching and learning? We explore some of the ways AI is already being used to enhance learning and teaching.
Resources & case studies
Some course teams have already started to explore possible use-cases for generative AI within the education context. We share some of their experiences here.