This is (most of) a presentation I gave for a learning and teaching symposium at the Cape Peninsula University of Technology. Unfortunately, the recording only started a few minutes after I did, so there’s an initial introduction that’s missing.
I start with some operational assumptions around assessment that inform my thinking. I then talk about how large language models (LLMs) are different to other types of technology that influence assessment practices. I describe the standard assessment paradigm (SAP), and the negative impact of working within this paradigm (this is when the recording begins), and then talk about how AI-supported assessment may move us into a different assessment paradigm.
I talk about some of the recent changes to large language models and how these changes move us towards what I’ve previously called ‘universal anything machines‘. I go on to discuss principles of assessment design with specific reference to platforms like ChatGPT, and then work through an example of an assessment task making explicit use of ChatGPT.
Finally, I briefly describe a faculty development framework, as well as the implications of AI-supported assessment on the academy, and on learning more broadly. And then there is a period of Q&A from participants.