Code, Create & Solve Real Problems
Kids use block-based coding to build chatbots, train machine learning models, and tackle ethical debates about AI's role in the world. Real tools, real projects, real skills.
import chatbot
bot = chatbot.create("Wizi")
if bot.hears("hello"):
bot.say("Hi there! 👋")
elif bot.hears("joke"):
bot.say(get_joke())
else:
bot.learn(message)
Learning Outcomes
Build conversational AI using Scratch and IBM Machine Learning for Kids platform.
Train image classifiers and text recognizers using Google Teachable Machine.
Understand how AI learns from data by collecting, labeling, and analyzing datasets.
Explore bias, fairness, and privacy through role-play scenarios and structured debates.
Create AI-powered games with smart NPCs and adaptive difficulty levels.
Apply hypothesis testing to AI experiments — predict, test, observe, conclude.
Curriculum
Each module includes guided coding activities, collaborative projects, teacher lesson plans, and assessment rubrics.
A deeper dive into AI concepts. Kids learn about narrow vs. general AI, how machines learn from data, and map out AI systems they use every day.
"AI in Our World" Presentation — Teams research and present how AI is used in one industry (healthcare, gaming, sports, etc.)
Kids discover supervised learning by training their own image classifiers. They collect data, label it, train models, and test their accuracy.
"Trash Sorter AI" — Kids train a model to classify recyclables vs. trash using photos they take themselves.
Using Scratch and IBM ML for Kids, students build their first conversational AI — a chatbot that understands text and responds intelligently.
"Homework Helper Bot" — Kids build a chatbot that answers questions about a subject they choose (science, math, history).
Students explore computer vision in depth — building image classifiers, understanding how facial recognition works, and creating vision-powered Scratch projects.
"Emoji Controller" — Kids build a Scratch game controlled by facial expressions detected through their webcam.
A deep dive into AI ethics. Kids explore real cases of AI bias, discuss privacy concerns, and role-play as AI policymakers to create their own "AI Bill of Rights."
"Fair AI Poster Campaign" — Teams create awareness posters about AI fairness and present them to the class.
Kids explore AI careers, take a career quiz, and complete a capstone project that combines everything they've learned into one showcase-worthy creation.
"My AI Solution" — Kids identify a real problem and build an AI-powered solution using all the tools they've learned.
Other Learning Paths
The first 2 modules are completely free — no credit card required!