An effective way to implement GenAI into assessment
As part of the project I’m working on at the moment, I had a chat with Leon Furze earlier this week. Leon has co-authored something called the AI Assessment Scale (AIAS) which I think is pretty useful.
Like my ‘Essential Elements of Digital Literacies’ from my thesis which seeks to provide building blocks for building definitions and frameworks, the aim of the AIAS is “to guide the appropriate and ethical use of generative AI in assessment design.”
The AI Assessment Scale (AIAS) was developed by Mike Perkins, Leon Furze, Jasper Roe, and Jason MacVaugh. First introduced in 2023 and updated in Version 2 (2024), the Scale provides a nuanced framework for integrating AI into educational assessments.
The AIAS has been adopted by hundreds of schools and universities worldwide, translated into 29 languages, and is recognised by organisations such as the Australian Tertiary Education Quality and Standards Agency (TEQSA) as an effective way to implement GenAI into assessment.
To my mind, this should be used as a heuristic, much as I used to use the SAMR model (discussed here) to help educators think about the appropriate use of different technologies. At the end of the day, educators need to think about assessment design in tandem with the technologies being used — officially or unofficially — to complete it.
Source: AI Assessment Scale