Ozobot Classroom

Introduction to Color Codes 04: Direction

Students will explore the random choice Ozobot makes at intersections when not programmed to turn a certain direction. They will also program their bot to turn a specific direction at intersections and gain experience using u-turn codes.

Coral Inhabitants

Become a marine scientist! Build an interactive coral reef to explore how ocean animals feed and shelter. Program Ari to mimic an ocean creature’s journey, track coral visits, and analyze your data to compare results.

Prediction Pro

Students explore how LLMs learn by predicting Ozobot’s next action. Then, programming Ozobots to follow patterns and act out story paths, connecting repetition and prediction to the way language models are trained.

Patterns Not Memory: How LLMs Work

Students use skip counting as a way to identify patterns and make predictions. Then, they program Ozobot to complete a pattern to understand how LLMs work.

Making Decisions with Computer Vision

See Ozobot think on its wheels with computer vision! Connect a camera, ask the LLM your question, and watch as your bot zips off in the correct direction.

Digital Zoologists: Researching with the LLM

Become a digital zoologist by using the LLM block to research animals and create a field report! Test what the LLM can accurately answer by asking a variety of questions with different output types to program Ozobot’s behavior based on the responses.

Autonomous Driving Intelligence

Team up to simulate how autonomous vehicles detect and react to pedestrians using computer vision and AI! Students will program Ozobot to analyze the road ahead and make decisions about when it’s safe to cross.