Generative AI in higher education: Paradigm shifts in assessment скачать в хорошем качестве

Generative AI in higher education: Paradigm shifts in assessment

This is (most of) a presentation I gave for a Learning and Teaching symposium at the Cape Peninsula University of Technology, a few months ago. Unfortunately, the recording only started a few minutes after I did, so there's an initial introduction that's missing. In this presentation, I start with some operational assumptions around assessment that inform my thinking. I then talk about how large language models are different to other types of technology that influence assessment practices. I describe the standard assessment paradigm, 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' (see    • Universal 'anything' machines: Language mo...  . 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.