About AI in Schools
AI in Schools is a digital and technology company focused on building AI literacy and technical capability within the education system.
AI in Schools is not a traditional education provider. It is a digital and technology company translating artificial intelligence research into practical, hands-on capability for schools and communities.
Our work sits at the intersection of education, technology and research. Rather than delivering content or training pupils to use tools, we focus on developing understanding, agency and real technical skills so that young people can engage critically and creatively with artificial intelligence as a human-designed system.
Why AI in Schools Exists
Artificial intelligence is increasingly shaping how society works, from healthcare and transport to creative industries and decision making systems. Yet for many young people, AI is experienced only as something that happens to them, rather than something they can understand, question and build themselves.
AI in Schools was created to address this gap. Our mission is to demystify AI, challenge misconceptions and ensure that pupils and educators develop genuine AI literacy. This means understanding how intelligent systems are designed, trained and evaluated, as well as recognising their limitations, risks and ethical implications.
We believe every young person, regardless of background, should have access to high-quality AI education that builds confidence, critical thinking and long-term capability, not just familiarity with, and passive users of, technology.
How We Work With Partners
AI in Schools delivers in-person workshops directly in schools, colleges and at educational or community events. We travel to you and work with your existing facilities, ensuring delivery is practical and accessible.
Every workshop is:
Individually planned in collaboration with the school or organisation
Aligned to curriculum and age-appropriate learning outcomes
Designed to maximise impact within the time available
Before delivery, we hold a short online planning meeting. This includes a pre-workshop questionnaire to confirm technical requirements, learner needs, group size and objectives, ensuring smooth delivery on the day and meaningful outcomes for learners and staff.
All workshops use open-source and freely available tools. We do not rely on paid platforms or proprietary services. Schools are also given access to a custom online resource hub, allowing pupils and teachers to continue learning long after the workshop has finished.
Our Workshop Approach
AI in Schools workshops are hands-on, engaging and deliberately structured around the full AI development lifecycle, giving learners an authentic experience of how AI systems are built and evaluated in the real world.
Each workshop is delivered in three connected segments.
Learners begin by exploring what artificial intelligence is, and what it is not. AI is demystified through discussion, examples and activities that examine how systems learn from data rather than “think” like humans.
This section includes:
An introduction to AI, machine learning and data-driven systems
Exploration of generative AI and how to discern what is real, synthetic or misleading
How machine learning algorithms learn from examples
The impact of bias in data and how this affects society
The emphasis is on critical thinking, analytical judgement and ethical reasoning.
In the core practical section, learners work through a complete AI development lifecycle to solve a real-world problem using data.
Depending on age and ability, this may involve:
Machine Learning for Kids with Scratch
Python-based machine learning activities
Learners collect or explore data, train and test models, evaluate performance and reflect on limitations. Coding challenges are differentiated to support a wide range of learners while still providing stretch and depth for those who want it.
This section develops:
Computational thinking
Teamwork and problem solving
Engineering-style thinking
Confidence in working with data and algorithms
The final section encourages learners and educators to consider the wider implications of AI.
Learners explore:
Ethical and moral considerations in AI design
Environmental impacts of large-scale AI systems
Future education and career pathways connected to AI, computing and engineering
This ensures that technical learning is grounded in responsibility, values and real-world context.
What Makes AI in Schools Different?
Our aim is not just to inspire interest in AI tools, but to create the next generation of innovators by giving young people the understanding and skills needed to engage with AI critically, confidently and responsibly.
Technical
A digital and technology-led approach, not a content delivery model
Learning
Open-source tools and long-term access to learning resources
Future
Strong emphasis on AI literacy, ethics and critical thinking to prepare for future careers
Expert-Led
Individually planned and delivered by an expert, tailored to each setting
About the Founder
Dr Beth Lane is the founder of AI in Schools. She is an experienced educator and computer scientist whose PhD specialised in medical artificial intelligence. She is now dedicated to advancing AI literacy education, widening participation and addressing digital inequality, particularly in the North of England.
AI literacy is not optional. Every child deserves the knowledge and agency to participate in a technology-driven economy and shape the systems that will define future work and innovation.