Teaching AI is Easier Than You Think

Using micro:bit, CHARGE, and simple projects, you'll have everything you need to bring hands-on AI learning into the classroom.

Welcome,

You’re here because you care about preparing your students for the future.

Through hands-on AI projects, they will understand how it really works and learn to shape it responsibly. Along the way, they will practice creativity, problem solving, and critical thinking. The skills that matter most.

Get in Touch

Webinar

Description of what you'll learn

one
two
three

What You'll Need

High-quality materials

Explain what machine learning is and how it differs from traditional programming
Collect and prepare training data

Use the micro:bit’s sensors to gather data and label it for use in training a model
Train and test an AI model

Use CreateAI to build, train, and evaluate a simple machine learning model based on collected data
Integrate AI models into projects

Program the micro:bit to use a trained model to control outputs or trigger events in a robotic or coding project
Analyze and improve model performance

Reflect on the accuracy of the AI model and experiment with improving results by adjusting data or model parameter
Apply AI responsibly

Discuss real-world applications of AI and identify ethical considerations, such as bias, fairness, and privacy