In partnership with the British Science Association, TechFest is working with schools to run a Machines of the Future Discovery Day event. TechFest will provide online teacher training to ensure that the participating teachers have everything they require to run the event in school. In addition, participating schools can apply for up to £500 funding to cover overhead costs (printing, paper, pens, etc.) and, as the project is sponsored by the British Science Association, each students Discovery Day CREST award will be paid for.
The Discovery Day project is aimed towards pupils from P6 up to S2.
This is a great project to introduce pupils at an early age to machine learning which is used in everyday life. The 5 hour project is made up of 3 workshops and includes a challenge where students get the opportunity to work in a group together to design a household product which uses machine learning.
1) Would you trust a machine? - students will sort out different potential machine learning jobs based on their usefulness and how much they would trust a machine to do the job.
2) Machine Learning now - students will look at video case studies, investigating how machine learning works in a real-life context, how different data and sourced are used in AI systems, and illustrating how these tools use machine learning.
3) Teach a Machine - in groups students experiment with machine learning using a range of different AI powered tools.
Challenge - Students will work in groups to research and plan to design a household product with the opportunity to present their work at the end of the Discovery Day.
Watch below a video of Professor Brian Cox explaining why this a great opportunity for schools to get involved with and to get a real feel for the project.
Disclaimer: Limited number of places available, applications not guaranteed.
For enquiries and how to sign up please contact Kirsty Cranna on email at This email address is being protected from spambots. You need JavaScript enabled to view it.
For more information visit the Machines of the Futures materials which are available on the CREST website.
