How Artificial Intelligence (AI) is used by our Digital Education Systems

Anthology, the vendor of Blackboard Learn (Minerva), have incorporated AI tools within Minerva as part of their 'AI design assistant'. For all options listed below, no data entered by staff at Leeds is used to train the AI. To find out more, read our vendor's statement on their Trustworthy AI Approach.

Staff can ask Minerva to suggest questions for tests based on the module name, text provided by themselves or text in a Minerva Document. These questions are provided as a starting point which staff then review/amend and add to module tests as appropriate. The suggested use case for these tests is for formative testing e.g. tests which help students check knowledge of the subject.

Staff can ask Minerva to suggest high level themes and structures for learning resources via the creation of Learning Modules (containers similar to Folders). For example, it can suggest a structure with headings and a description which staff may use to inspire them to structure a module's content. This function does not generate any learning resources e.g. slides.

Staff have access to an image bank in Minerva. AI suggests keywords to speed up searches for images to use in their module, usually for decorative purposes.

For more information, see the staff guide on the Minerva AI Design Assistant.

AI is used to support automatic caption generation, which occurs once a video is uploaded/recorded in Mediasite.

Padlet hosts a 3rd party image generation tool.

Automated feedback addresses mechanical and structural elements like citation, academic style, grammar, and structure.

Students' input is never used to train, retrain, or improve any of the Azure OpenAI Service’s Models, or to fine-tune the instance of model used.