Introduction to Color Codes 05: Skills Check 1 (Grades 6-12)
Students will complete a maze to show their knowledge of the Color Codes and concepts learned in Lessons 1-4.
Introduction to Color Codes 08: Counters
Students will learn Color Codes to program Ozobot to count three things: intersections, turns at intersections, and changes in path color. Students will also learn how to use the Point Counter Color Codes.
Introduction to Color Codes 06: Timers
Students will learn Color Codes to program Ozobot to run and stop following a timer. They will also observe how speed and time are related when programming Ozobot to complete a task.
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.
Introduction to Color Codes 03: Special Moves and Win
Students will learn how to draw Color Codes to program Ozobot to complete special moves.
Introduction to Color Codes 02: Speed
Students will learn how to draw Color Codes to program Ozobot to change speed.
Introduction to Color Codes 01: Basic Training
Students will discover the basics about how to use Ozobot: turning on/off, calibrating, drawing lines, and programming with Color Codes.
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.
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.