Dive into the world of artificial intelligence with these classroom-friendly activities that leverage CreateAI and Google’s Teachable Machine. Students can create and train an image recognition model, learning how AI systems process data and make predictions. These hands-on lessons are designed to make AI approachable and engaging for all learners!
Hour of AI: Machine Learning Magic
Using a micro:bit and flick of the wrist, students will create and train a machine learning model and explore how AI systems process data and make predictions.
This teacher-facilitated or student-led lesson requires a computer with internet access and a version 2 micro:bit with battery pack. Students will follow step-by-step instructions for training, testing, and improving a gesture recognition model to identify different magic wand gestures and then create an interactive project in MakeCode. The lesson covers the importance of data collection, data analysis, and data quality as well as how the data samples you record impacts the accuracy and overall success of the model they create.
Below are the resources you will need to get started.
Grades 6-12 | One Hour
AI for All: Machine Learning Models
This teacher-guided, whole-class lesson requires only a computer with internet access and a webcam — no robot needed. Students will train an image recognition model using Google’s Teachable Machine to identify different bird species, then use Snap! programming to create interactive projects.
Below are the resources you will need to get started. Happy coding!
All Grade Levels | One Hour
- Google Teachable Machine
- Teacher Guide
- AI for All with BirdBrain Slide deck
- One copy of the BirdBrain Technologies Image Recognition printable for every participant or group of participants
- Link to Snap! project