Quick Draw (Google)
Can AI guess your drawings in 20 seconds? Scribble something and watch a neural network try to recognize it in real time. Heads-up: your doodles are added to a public Google dataset - a great thing to talk about in class.
Student Portal · All grade levels
Your journey into artificial intelligence starts here. Explore printable worksheets, read AI stories, challenge an AI, and build things that matter.
Explore & experiment
Six free, browser-based tools that let you play with real AI - no downloads, no accounts needed for most. 10–30 min per tool
Can AI guess your drawings in 20 seconds? Scribble something and watch a neural network try to recognize it in real time. Heads-up: your doodles are added to a public Google dataset - a great thing to talk about in class.
Train a real AI model in your browser using your webcam or microphone. Teach it to recognize poses, sounds, or images!
Use Scratch's Video Sensing blocks to build projects that react to movement from your camera - a hands-on first look at how computers "see." Opens the built-in tutorial.
Build machine learning projects with Scratch. Train text, image, or sound classifiers, then code with them in Scratch or Python!
A word-association game powered by machine learning: type a clue and watch an AI pick the word it thinks you mean. A fun way to see how AI understands language.
AI helps you draw better sketches! Start drawing anything and AutoDraw suggests professional clip-art versions in real time.
These tools are made by outside organizations and open in a new tab. Links last reviewed September 2026. Teachers and families: please preview each activity first and check its account and data requirements - some sites save what you type or draw. Younger students should explore with an adult.
Start here
Pick a unit to explore its printable worksheets - vocabulary, hands-on activities, reading, and reflection. Every activity works with or without a computer. 92 free printables
What is artificial intelligence, really? Discover how machines learn from examples.
How do computers learn patterns from data to make predictions?
Peek inside the “brain” of AI - how neural networks learn a little like we do.
How does your phone know your face? Explore biometrics, algorithms, and the fairness questions they raise.
Can AI be unfair? Learn how bias creeps into AI - and how to spot it.
How can AI help us understand and protect our world?
From self-driving cars to smarter cities - AI on the move.
Read & explore
14 illustrated Cece stories that bring AI ideas to life - free to read and print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
An illustrated Cece story - free to read online or print.
Can you tell?
Two poems about the ocean - one written by a student, one by AI. Vote first, then find out who wrote what. 2 min challenge
- Maya, Grade 8
- Generated by AI
Which poem do you think was written by a human?
Reveal: Poem A was written by a real student. AI writing often sounds polished but can lack personal detail and surprise. In our pilot, votes split almost 50/50 - proof it's harder than it looks!
Get inspired
Here's the kind of thing students like you can build. Finish one? Submit it through the Ask an AI Mentor form below. 5 min to browse
Train a Teachable Machine model to identify common tomato plant diseases from photos, and help a family or community garden stay healthy.
Build a webcam-based sign language recognition game with ML5.js that helps younger students learn basic ASL signs through play.
Use Scratch AI extensions and emoji input to build a program that suggests songs based on how you're feeling after school.
These are example project ideas to spark your imagination - your project can be anything you care about.
Get help
Stuck on a project? Curious about how AI works? Submit your question and our community mentors will answer. 2 min to ask
No question is too basic, we were all beginners once. Mentors typically respond within 24-48 hours.
Why does my Teachable Machine model keep getting confused?
Great question! Your model is probably confused because your training images look too similar to each other, or you don't have enough variety. Try adding at least 30–50 images per class, taken from different angles and lighting conditions. The more varied your training data, the better your model will generalize to new examples.
Is AI going to take everyone's jobs? Should I be worried?
It's a fair thing to wonder about! AI does automate some tasks, but it also creates new jobs and changes what existing jobs look like. The best thing you can do is learn how AI works - people who understand AI will be in huge demand. You're already ahead of the curve just by being here!
How do I explain my AI project to judges at a science fair?
Start with the problem you were trying to solve, then explain what data you used to train your model, and finally show what your AI can do. Use simple analogies - for example, "I taught my AI the same way you'd teach a dog tricks: show it examples, reward correct answers, repeat." Judges love seeing that you understand why it works, not just that it works.