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2025’s Not-For-Profit Digital Project of the Year winners are using innovative tech solutions to make a positive impact. Congratulations to BBC Micro:bit Educational Foundation! 🏆   #DigitalRevAwards2025

Thrilled to see the Gr 4 & 5's Springdale P.S creating innovative SDG prototypes to tackle wildfires 🔥 and ocean conservation 🌊! These solutions are paving the way for a sustainable future. #SDGs #Innovation Empowering Modern Learners @ PDSB Micro:bit Educational Foundation littleBits #LEIP

We're very proud to have funded this project and worked together with Micro:bit Educational Foundation and the BBC to bring it to life. You can read more about micro:bit - the next generation, here: nominet.uk/news/bbc-micro…

White Rose Science x Micro:bit Educational Foundation Resources are coming soon... are you ready? 👾 Learn more from the link in bio 🔗

🏆 WINNERS! Alongside BBC Bitesize for Teachers and Nominet, we are thrilled to announce that the BBC micro:bit - the next gen project, has won the "Not-For-Profit Digital Project of the Year" at the 2025 Digital Revolution Awards 🎉 bbc.co.uk/teach/microbit #DigitalRevAwards2025 #BBCmicrobit #EdTech

SATs ✅ Now keep Y6 inspired with real-world learning. Try our Energy Awareness unit — where micro:bits meet climate action 🌍💻 Perfect post-SATs project: Computing + Sustainability + Geography + Science. Micro:bit Educational Foundation Twinkl Sustainability twinkl.co.uk/l/182dx8

UPCOMING WEBINAR! 📆 Tuesday 20th May Exploring science with the micro:bit - in this free webinar we will explore using the micro:bit as a tool for science investigations 👩‍🔬. 🔗Register for free: microbit.org/teach/events/  and remember to sign up beforehand to get the recording

Super work by our Digi Leaders hosting a Micro:bit Educational Foundation lesson in Year 3/4 creating soil moisture sensors to help us look after their seedlings Blackwood Primary

5th graders got to try out the new micro:bits provided by the CS Dept and loved it! Shawn DeLuca helped us code them to play rock, paper, scissors and train an AI model to tell the difference between physical movements using the micro:bit’s accelerometer. Loudoun County Computer Science Office