Artificial Intelligence in Teaching Erasmus Project
General information for the Artificial Intelligence in Teaching Erasmus Project
Project Title
Artificial Intelligence in Teaching
Project Key Action
This project related with these key action: Cooperation for innovation and the exchange of good practices
Project Action Type
This project related with this action type : Strategic Partnerships for higher education
Project Call Year
This project’s Call Year is 2019
Project Topics
This project is related with these Project Topics: Open and distance learning; ICT – new technologies – digital competences; Pedagogy and didactics
Project Summary
Artificial Intelligence (AI) is fast becoming ubiquitous. In particular, it is having a critical but unclear impact on Higher Education (HE) practices, educators and learners across Europe, which urgently needs to be properly understood.
Accordingly, this “Artificial Intelligence in Teaching” project (AIT) aims to identify and analyse AI best practices in HE in three countries and to develop a roadmap for future developments and use.
AIT will investigate both dimensions of AI in education: learning ‘with’ AI and learning ‘about’ AI. The first dimension involves AI approaches such as adaptive and personalised learning. While it is not a cure-all, AI has the potential to help teachers do what they do best: focus on the upper levels of Bloom’s taxonomy and on the human aspects of teaching, helping learners learn more effectively. However, a proper understanding of the second dimension of AI in education is equally important. Not only is it about training the AI engineers of tomorrow, although that is key, it also involves raising all HE stakeholders’ awareness and understanding of the full implications of AI for the HE sector and beyond.
The objectives of the AIT project are:
A. To identify and analyse practical examples/potential uses of both dimensions of AI in HE.
B. To identify and analyse best practices/potential uses of both dimensions of AI in HE.
C. To identify national characteristics of approaches to AI in HE in the United Kingdom, Portugal and Denmark.
D. To develop a roadmap for the development and application of both dimensions of AI in HE.
E. To disseminate knowledge about both dimensions of AI in HE.
The AIT group is a very strong consortium comprising The Open University (UK), Universidade Aberta (Portugal) and Cphbusiness (SmartLearning) (Denmark), each of which has been involved in successful EU projects over many years. All three partners are digital learning providers with strong track records. Together, the consortium supports more than 250000 learners, from all over the world, each year—and each partner recognises the growing importance of AI for their institutions and beyond.
The AIT consortium will conduct national analyses (drawing on academic and grey literature, together with research-based interviews of key players) in the three countries. The focus will be on identifying examples and best practices of AI in HE (across both AI dimensions). The analyses will include outlining national characteristics, specific technologies, and didactic and pedagogical approaches to AI in HE in the United Kingdom, Portugal and Denmark. Finally, based on the analyses, AIT will develop a roadmap for the development and application of AI in HE, which will be disseminated widely.
The expected outcomes and potential long-term benefits include:
(i) increased knowledge of both dimensions of AI at all levels in the HE sector,
(ii) research-based data of AI technologies in use across the HE sector,
(iii) a research-based roadmap for future development and use of AI in HE, and
(iv) increased knowledge of AI for informing institutional decisions and policymaking across Europe.
Project Website
https://learninghub.smartlearning.dk/projekter/artificial
EU Grant (Eur)
Funding of the project from EU: 52861,2 Eur
Project Coordinator
Copenhagen Business Academy & Country: DK
Project Partners
- THE OPEN UNIVERSITY
- UNIVERSIDADE ABERTA

