Artificial Intelligence (AI) fundamentally transforms teaching and learning methods by widely deploying highly advanced applications developed in laboratories. This raises significant questions regarding the assessment of knowledge and skills, as well as ethical challenges. While current discussions focus on chatbots and language models, the field of AI in education also encompasses Deep Learning and Learning Analytics. AI automates tasks while also enabling complex analyses of human experiences. However, there are clear limitations compared to human learning. The EARLI E-CER Initiative investigates the implications of these developments, with members presenting and discussing their own research findings.

Which international project partners are involved?

Roger Säljö: Renowned professor of educational psychology at the University of Gothenburg in Sweden with extensive research experience in the field of learning and interaction.

Jimmy Jaldemar: Associate Professor at Mid Sweden University in Sundsvall, Sweden, and has been involved in the development of technology-enhanced learning in higher education since the 1990s.

Johan Lundin: Professor of Computer Science at the University of Gothenburg in Sweden and studies how information technology changes the conditions and possibilities of learning and knowledge acquisition.

Ylva Lindberg: Professor of Education at Jönköping University in Sweden and researches evolving practices in language and literature in post-digital education.

Maarten de Laat: Professor of Augmented and Networked Learning at the University of South Australia and researches how technology and social design influence learning and innovation in social networks.

Marcus Specht: Professor of Digital Education at the Technical University of Delft in the Netherlands and heads the Leiden-Delft-Erasmus Center for Education and Learning, where he focuses on Computational Thinking, Learning Analytics, AI in Education and Virtual and Augmented Reality for Education.

Sanna Järvelä: Professor of Learning Sciences at the University of Oulu in Finland and head of the Learning and Educational Technology Research Lab (LET), where she works on self-regulated learning, computer-supported collaborative learning and AI in education.

Andreas Gegenfurtner: Professor of Learning Research Methods at the University of Augsburg in Germany and researches digital learning, student heterogeneity and visual literacy in the professions.

Sabine Seufert: Professor of Business Education at the University of St.Gallen and heads the Institute for Educational Management and Technologies (IBB-HSG), where she focuses on digital transformation and AI in education.