ADMIT

Overview

Generative AI is now widely recognised to be a transformative technology in many areas of modern life. The three-year generative Ai anD large language Models In higher educaTion (ADMIT) project is investigating the transformative impact it is already having on higher education and how this develops over three years through the monitoring of advancements in research, innovation, and institutional practices.  

The core objective of ADMIT is to develop a framework, comprising a set of guidelines and best practices that will support the integration of generative AI into learning design and teaching. The purpose of this framework is to serve as a blueprint for higher education institutions, providing them with the tools to use generative AI in ways that enhance student engagement, fosters innovative teaching methods, and improves study outcomes. A focus on the ethical implications will ensure the use of these technologies is aligned with principles of fairness, inclusivity, and transparency. This framework will shape the production of a CPD course the project team will create for university teachers. This course will equip staff with the knowledge and skills needed to effectively implement generative AI in their teaching practices. 

ADMIT is a collaborative initiative involving higher education institutions from Belgium, Cyprus, Finland, Germany, Greece, Ireland, Italy, the Netherlands, Spain, Switzerland, Turkey, and the United Kingdom. It is funded by the European Union through the Erasmus+ programme. The project will also collaborate with stakeholders, including students, educators, IT services, institutional leaders, and policymakers at both national and EU levels and will collect data through desk research, surveys, and interviews. Annual international Peer Learning Activities will be a focus for this wide collaboration. 

The project is structured to benefit from the experience, policy, and practice within all 11 institutions and under the umbrella of the European Association of Distance Teaching Universities (EADTU) will benefit from the input of a much wider teaching community. 

The work packages include: 

• Current Developments on the Impact of LLM on Higher Education 
• Mapping Practices and Policies in the Partnership 
• Framework and guidelines on the use of LLM/generative AI as a tool in teaching and learning design 
• Ethical Aspects and Institutional Policies 
• Continuing Professional Development (CPD) on the Use of LLM/Generative AI in Teaching and Learning 

The role of IET

The OU team is comprised of members of staff from IET. These are experts in the use of generative AI in curriculum development, curriculum development and delivery more widely, and the use of educational technology. They are supported by other IET research focussed colleagues.  

The OU team will contribute to all the work packages as will all partners and will both lead the work on the iterative literature review with three reporting points and on learning design for the CPD course that is a primary output from the project.