RGAI-FCT: Responsible Generative AI for Accelerated Competency-Based Teacher Training in Fragile Contexts (RGAI-FCT)
Enhancing the teaching capabilities of refugee teachers in Uganda using generative AI.
Learning Curves: Autumn 2024 Edinburgh Futures Institute Events
The Edinburgh Futures Institute autumn 2024 events season is starting soon: Learning Curves features 20 live events, free and open to all, examining the future of education. Centre colleagues led on the development of several of the events.
Susan Edwards: Enacting and sharing digital practices in the early years
Seminar
Join us for Professor Susan Edwards' seminar on enacting and sharing children's digital practices. The seminar provides an overview of a large Australian Research Council Linkage Project based on the Early Childhood Australia Statement on Young Children and Digital Technologies.
New project: AI for Teaching Innovation
The new project "AI for Teaching Innovation" supports and enables creative teaching innovation through generative AI. It's part of a partnership the AI adoption programme of work, and a partnership between the Edinburgh Futures Institute (EFI) and the Moray House School of Education and Sport.
New project: Grasping Data. Empowering young children to understand and benefit from their personal data
A new Children and Technology project has been announced among the thirty-six successful projects that will share £32.4m from the UKRI’s cross-research council responsive mode round 1 pilot scheme, designed to stimulate exciting new interdisciplinary research.
Grasping data: empowering young children to understand and benefit from their personal data
Changing perceptions about children and their personal data through the creation of cutting-edge, child-centred tools and teaching practices.
AI for Teaching Innovation
As part of the AI adoption programme of work, and a partnership between the Edinburgh Futures Institute (EFI) and the Moray House School of Education and Sport, this project supports and enables creative teaching innovation through generative AI.