Expanding Digital Learning Spaces
Prof. Thomas Ryberg
In this keynote, I introduce a theoretical framework outlining four types of digital learning spaces: The individual learning space, the working group, the community of interest, and finally open connections. The theoretical framework aims to highlight the unique potentials of digital technologies to expand learning activities in and across learning spaces. In the presentation, I explore the theoretical framework through practical examples drawn from Aalborg University’s Problem and Project based Learning model where students work in groups with complex problems. These discussions include also how students work with G-AI as part of their collaborative learning processes. The framework has been developed in collaboration with Christian Dalsgaard from Aarhus University and is introduced in this article: Dalsgaard, C., & Ryberg, T. (2023). A theoretical framework for digital learning spaces: Learning in individual spaces, working groups, communities of interest, and open connections. Research in Learning Technology, 31. https://doi.org/10.25304/rlt.v31.3084
If You build It… Will Teachers Use It? Bridging the Gap Between TEL Research and Real Classrooms
Prof. Iza Marfasi
In her keynote talk, Professor Marfisi will discuss the critical importance of working directly with teachers to ensure the validity of research outcomes. She will also address the challenges that lie ahead in transforming today's educational practices based on research results.
From Learning to AI to AI for Learning: Navigating Hype and Hope of Generative AI in Higher Education
Prof. Christian Stöhr
Generative AI is widely seen as transformative for education, driven not only by academic inquiry but also economic and political factors, fueling both enthusiasm and concern. Educators across all disciplines are asked to teach students to critically engage with AI in their field ("learning to AI") and leverage AI effectively to enhance education ("AI for learning"). In this keynote, we critically examine emerging theoretical and empirical research to untangle hype from hope. With a focus on learning and changing practices, we will explore the fundamental questions about what AI supported teaching and learning can and should be, addressing what works, for whom, under which conditions.