In this blog, Ben Garside explains how we can help learners understand GenAI by focusing on solving problems.
inequities — but it does focus the development on the end user and the data needed to train
Young volunteers made a fabulous success of Youth Zone at MozFest 2016, with Raspberry Pi workshops on everything from Scratch to laser-cutting.
been able to otherwise because Google offered us venue space and funding to hire trainers
We are a charity with the mission to enable young people to realise their full potential through the power of computing and digital technologies.
But the other thing is also in terms of like, train teachers as well, more teachers
Findings from our study of peer instruction for teaching Computing to pupils aged 12-13, part of our Gender Balance in Computing research programme.
original plan to run face-to-face training and instead developed an online course to train
We applaud young people’s coding projects and reveal the special judges‘ favourites in our Coolest Projects Global livestream celebration.
Roland’s project is designed to train dogs to identify different smells.
Eben and I are going to be out of the UK for much of the rest of May, doing press, meeting partners, visiting Raspberry Pi fans, hanging out with science fair kids and giving talks. We’ll be in Phoenix for Intel ISEF, San Francisco for Maker Faire (come and listen to our talk! We don’t…
Below the train station stairways were crammed all manner of scores of pookas, most
Announcing a new way for people to learn about digital making from Raspberry Pi: two free online CPD training courses, available anywhere in the world.
When are you coming to train us?”
In the latest issue of Hello World magazine, Shuchi Grover talks about the limits of constructionism and why programming can be a source of both joy and angst.
learning resources Computing education research seminars Next Post How teachers train
Our approach to describing AI and machine learning in AI education resources for young people.
examples of how bias predictions can be a consequence of the bias data used to train
Our CEO Philip Colligan engages with the big questions surrounding AI and computing education.
Can that data — aggregated from millions of students — be used to train new models
