SADIE (Scoping AI Developments in EdTech at Edinburgh)

we are currently scoping work to understand the current AI landscape within centrally supported learning technology.​ The scoping activity is being delivered via the VLE Excellence programme and is a precursor to the SADIE (Scoping AI Developments in EdTech at Edinburgh) project as part of the VLE Excellence Programme.​ Discussions around decisions, management and governance for AI in Learning Technology are the next required steps.

Why SADIE? 

SADIE (Scoping Ai Developments In Edtech at Edinburgh) 

 

Background 

SADIE will build on the existing knowledge gathered by Learning, Teaching and Web Services (LTW) to understand the current AI developments and opportunities available within EdTech at Edinburgh. These AI developments may take the form of new tools or functionality being offered by our existing vendor partners, or new products being offered to us by new vendors. With this knowledge and experience, the project team will look to create a set of recommendations. Local learning technologists will be engaged to discuss needs and impacts in Schools. As a result of the project to support with future proofing the management of AI in EdTech. 

 

Policies  

As part of the work being undertaken within the SADIE project, a recommendation on policy requirements will be provided. 

 

Scope  

SADIE is a 6-month project, undertaken in the 23/24 academic year focusing on: 

In Scope 

·         AI developments in EdTech at Edinburgh; 

·         Identification of training gaps in AI tools in Edtech 

 

Out of Scope 

·         Generative AI; 

·         Creation of training course(s) identified via the training gaps

·         Support and guidance on using AI developments in EdTech at Edinburgh

Benefits  

Upon the delivery of SADIE, the following benefits should be achieved:  

 

·         An understanding of the current ‘state of the nation’ for AI in EdTech at the University of Edinburgh; 

·         A consistent approach to the management of AI developments within EdTech at the University of Edinburgh; 

·         Transparency around the decision-making process for the management of AI developments within EdTech at the University of Edinburgh. 

 

Success Criteria  

Upon the delivery of the SADIE project, the following success criteria should be achieved:  

·         A process for the management of AI developments within EdTech at the University of Edinburgh; 

·         Creation of a public space that provides a transparent overview of the decisions made in the AI in EdTech space at the University of Edinburgh 

o    A final report, providing recommendations; 

o    Policy requirements;