AI for Teaching and Learning in Higher Education: Home

Artificial Intelligence is transforming our world in ways we are only just starting to understand - which is why it is important as individuals as well as educators, researchers, learning designers and students to learn all we can about what it is, what it can do and what we should ask of the people who have the power to regulate it.

The term "Artificial Intelligence" is an umbrella term that covers a vast spectrum of technologies, from chatbots to sophisticated systems with specialist uses.

This guide focuses on publicly available generative AI and does so from an educational perspective. It includes AI basics and broader AI issues. It is by no means meant to be a comprehensive treatment of the topic but hopefully will serve as a grounding upon which you can build.

If you are new to AI or the use of generative AI, we'd recommend you read through the content sequentially, in the order the tabs are presented. This will ensure you have an understanding of the terminology and the basics of AI that will support your understanding of the other topics. 

Banning the use of AI in coursework is not the answer to dealing with academic integrity concerns. Our graduates will likely be using AI in their future careers as well as to support their research and other academic endeavours. Teaching students to use AI ethically and effectively is predicated on anyone involved in learning design and delivery being proficient in using AI. 

If you are unsure of which AI to experiment with or to use in developing your and your students' AI skills, all staff and students have access to Microsoft Copilot using their UniSA logins. Copilot is powered by GPT 4 and has access to the publicly available internet. It also provides a layer of security as it aims to be a corporate AI solution.

We hope you find this guide to be a valuable guide and starting point for your own exploration of AI in learning design, teaching and research.