Generative AI: what does it mean for teaching, learning and assessment?

In this week’s MicroCPD, Professor Michael Grove (DPVC, Education Policy and Academic Standards), discusses the capabilities of Generative AI technologies and the implications for both staff and students in higher education.  

Generative Artificial Intelligence describes algorithms that can be used to create new content, including text, computer code, images, audio. Such tools are now widely accessible and will impact our teaching, learning, assessment, and support practices in increasing ways as they rapidly develop in their sophistication.

We, along with other universities, are currently working to help staff and students understand how these technologies can be used in teaching, learning, assessment, and support within higher education. We have recently released an institutional statement which we will develop as our understanding of these technologies and their implications for our pedagogy and practice evolves, along with establishing a community of practice to explore the opportunities and implications of generative AI by enabling individuals to come together to discuss issues, access advice and guidance, and share ideas and resources.

From a personal perspective, I became interested in Generative AI and its implications for teaching and learning within the mathematical sciences when I heard of the release OpenAI's ChatGPT. You can read more on this in the blog post I wrote for Teaching and Learning Mathematics Online (TaLMO).

Staff are encouraged to sign up to the Community of Practice:
Community of Practice teams link: GAI Staff Community of Practice
Community of Practice team access code: bkalwgz
(Click the link and enter the code to gain access in Microsoft Teams)