Post by AI World

6,987 followers

The risk in education isn't AI replacing teachers. It is AI removing the struggle through which learning actually happens. A new World Economic Forum Insight Report puts that risk at the centre. In one study it cites, students given an AI tool improved while they had it, then scored worse than peers who never used it once it was taken away, showing how learning is an active struggle, not a simple passive absorption. The report's answer is not to slow the technology but to build the conditions that decide whether AI strengthens learning or hollows it out. It calls this “readiness”, and organises it into four interdependent levels. => Enabling foundations: data governance, infrastructure, sustainability, financing => Institutional capacities: academic integrity, innovation governance, social spaces, community => Pedagogical practices: AI and media literacy, educator workload, assessment, teacher agency => Learning experiences: inclusive access, problem-solving, lifelong learning, personalisation A contradiction however remains at the core. Institutions are built to move slowly, prioritising equity and trust, while AI reshapes learning behaviour faster than systems can respond. Readiness, on this account, is not a checklist to complete once but a condition to manage continuously. The World Economic Forum has mapped the conditions for readiness. We at AI World track the ecosystem, so the evidence on adoption keeps pace with the speed of deployment. Credit to the leads for turning a fragmented debate into a shared framework for action, Ostap Lutsyshyn and Tanya Milberg, and to the experts who informed it: Md Afzal Hossain Sarwar, Anna Vignoles CBE FBA, Bashar Kilani, Brian Johnsrud, David Edwards, Diana Heldfond DiGia, El Iza Mohamedou, Emiliano Pereiro, Frank van Cappelle, Isabelle Hau, Julie de Barbeyrac, Lasse Leponiemi, Lorenzo Benussi, Mairéad Pratschke, PhD, Mauro Carballo, Nicholas Davis, Pierre Dillenbourg, Sertaç Yerlikaya, PhD, Soon Joo Gog, Tina Muparadzi, Triin Laasi-Õige, Yanick K., Zane Čulkstēna and the many contributors behind the work. #AIinEducation #AIGovernance #AIpolicy

Post contentPost contentPost content