How young people across Scotland got hands-on with technology, AI, and their own potential.
What happens when you put curious young people in a room with drones, VR headsets, AI tools, and a challenge to build something real?
You get the DataKirk STEM & AI Roadshow and this year, it was bigger, bolder, and more impactful than ever.
Over the February holiday period, we travelled across Scotland delivering immersive, hands-on STEM and AI experiences to young people aged 12–18. What unfolded in each session went far beyond learning, it was about confidence, creativity, and discovering what’s possible.
The Journey: Across Communities, One Mission
Over the course of the roadshow, DataKirk delivered sessions across Aberdeen, Edinburgh, Fife, Stirling, Glasgow, Falkirk, and Paisley, creating meaningful opportunities for young people to engage with technology in a way that felt practical, relevant, and inspiring.
Each stop had its own energy. Each room told a different story. But the mission remained the same: make technology real, make it accessible, and make it matter.
What stood out wasn’t just participation it was transformation. As the sessions progressed, young people moved from curiosity to confidence, from asking questions to building solutions. They weren’t just learning about technology; they were beginning to see themselves as people who could shape it.
In North Edinburgh, participants built, tested, and iterated on ideas in a highly collaborative environment. In Falkirk, one of the largest groups fully immersed themselves in coding, building, and presenting their projects with remarkable enthusiasm. In Stirling, the conversation went deeper exploring how AI behaves in the real world, why models can be “confident and wrong,” and what responsible AI really means in practice. And in Aberdeen, teams worked through a full design-thinking sprint, developing early-stage AI concepts using a human-centred approach.
Across every location, one thing was consistent: young people didn’t just watch they built, tested, challenged ideas, and took ownership of their learning.
What We Learned
Rather than relying on assumptions, we asked participants to reflect on their experience. What came back was clear: when young people are given the opportunity to engage with STEM and AI in a hands-on, supportive environment, the impact is immediate and meaningful.
Engagement & Inclusion
A strong majority of participants reported feeling engaged throughout the session, with many highlighting that they felt welcomed and included. This matters because a sense of belonging is often the foundation for meaningful learning and participation.
Learning Outcomes
Participants left with new knowledge and a clearer understanding of how technology works in the real world. Many developed a stronger awareness that AI systems are designed and improved by people an essential concept for building responsible and ethical approaches to technology.
Skills Development
Beyond technical exposure, the sessions supported the development of key future-ready skills. Young people strengthened their ability to work in teams, communicate ideas, think creatively, and approach problems with confidence.
What stood out most was the growth in creativity, communication, and problem solving — alongside increased confidence in presenting ideas and collaborating with others.
Collaboration
The sessions reinforced that effective STEM learning is rarely a solo activity. Most participants reported working well with others, highlighting the importance of teamwork, shared problem solving, and learning from different perspectives.
The Highlights: What They Loved
When asked about their favourite part of the day, the answers were consistent. The VR and drone demonstrations stood out across multiple locations.
These weren’t gimmicks; they were powerful entry points helping young people connect abstract ideas to real-world experiences they could see, test, and interact with.
Just as important were the challenges. Some participants pointed to the activities themselves coding tasks, robotics challenges, and complex questions as the most difficult parts of the day.
And that’s exactly where the value lies.
Real learning doesn’t happen when everything is easy. It happens when young people are pushed to think, experiment, and persist through uncertainty.
One of the most encouraging pieces of feedback? Many participants wanted more coding. That desire for deeper technical engagement is a clear sign that curiosity had been successfully sparked.
Why This Matters
Access to STEM and AI education is not evenly distributed. Too many young people particularly those from underrepresented and underserved communities never get the opportunity to see themselves as builders, innovators, or technologists.
The DataKirk Roadshow exists to change that.
By going directly into communities, rather than waiting for young people to come to us, we are helping to:
- Strengthen digital and AI literacy for the next generation
- Inspire innovation and critical thinking from an early age
- Create clearer pathways into tech, engineering, and data careers
- Promote inclusion and access for diverse and underrepresented young people
The energy in every session this year showed just how powerful early exposure to STEM can be when young people are given the space to experiment, fail, iterate, and lead.
Looking Ahead
This year’s roadshow has reinforced a simple but powerful idea: potential is everywhere opportunity is not.
Our role is to help close that gap.
We’re committed to expanding this work, reaching more communities, and creating more opportunities for young people to explore, build, and imagine futures in STEM and AI.
Because the next generation of innovators isn’t waiting they’re already here.
They just need the space to begin.
