Insights posts
Research, policy and practice on AI in education.
Longer reads on where AI in education is heading and what it means for schools: the research on teacher workload and burnout, student agency and self-regulated learning, guidance from bodies like UNESCO, and honest reflections on the risks of getting AI adoption wrong as well as the cost of doing nothing at all.
These pieces are written from inside a classroom rather than a marketing department, by Swift Teach's founder, a veteran educator and serving Head of Computer Science at an international school. Expect named sources, practical implications for department heads and school leaders, and a consistent position: AI should hand thinking back to students and time back to teachers, never the reverse.
AI in Schools: The Biggest Risk Is Doing Nothing
Early adopters show AI in Schools cuts workload and boosts student agency. Explore benefits, risks, and steps to get started with Swift.
AI in Education: Swift Teach's Focus on Student Agency
Swift Teach reinvents AI in education by shifting from quick downloads to true student agency.