Ozobot Classroom

Mars Challenge Mat Lesson 4: Going Home

Ozobot’s grand finale on Mars: Unlock ancient secrets, navigate mazes, and forge connections. A test of coding, strategy, and teamwork to complete the epic journey.

Fooled by the Bug

This lesson is all about debugging! First find the errors in a bugged code using your programming skills and the Ozobot Blockly glossary. Then code your own bugged program for a classmate to troubleshoot!

Girls Innovating Change

In honor of International Women’s Day, we are recognizing the young innovator Gitanjali Rao. Learn about this woman’s incredible achievements, then use Ozobot to come up with your own. You are never too young to make a difference in the world!

Navigate Tough Feelings

We all have times when we feel tough feelings, so it’s important to have the tools to process them. Help Ozobot express those tough feelings and navigate through the steps to feel better.

Ozobot Editor Essentials 13: Core Math

Experiment with math blocks to see how the Ozobot Editor can solve equations, generate random problems, and check answers. Then, put your skills to the test by creating an interactive math quiz for a classmate.

Ozobot Editor Essentials 12: Quiz Builder

Learn how to code a multiple choice quiz in the Ozobot Editor using variables, prompts, and conditions. Students will program a quiz on Ari’s screen or the Editor terminal, then share the quiz with classmates.

Ozobot Editor Essentials 11: User Interaction

Learn how to make programs interact with users through messages. First create a simple game scenario with user-facing and debug messages, then build a Simon Says–style game to share with a partner.

Ozobot Editor Essentials 14: Navigation Control

Become the programmer behind a delivery drone as it zips from the warehouse to locations around the map. Make navigation choices at each intersection and see if your drone can complete 10 deliveries without getting lost.

Ozobot Editor Essentials 17: Computer Vision

Connect a camera to the Ozobot Editor and ask it to answer a series of questions. You’ll prompt the LLM block to analyze an image, then print the AI’s answer in the console.