Do you want to give students hands-on activities to explore AI, but aren’t sure where to get started? We’re kicking off the new year with AI lessons that offer learners a look into how LLMs learn, make decisions, and respond to inputs using interactive Ozobot programming. These ready-to-run lessons are compatible with Ari and Evo coding robots and are sure to start the semester off with excitement!
Prediction Pro
In this hands-on AI lesson, students investigate how large language models learn by predicting what an Ozobot will do next. Next, students program their Ozobots to recognize patterns and follow story-based paths, helping them make concrete connections between repetition, prediction, and the way language models are trained.
Grades: 6-8
Subjects: Computer Science, ELA, Engineering/Tech, AI
Academic Standards: CSTA, CCSS, NGSS
Ozobot Editor Essentials 15: Large Language Models (LLM)
In this lesson, students explore how AI systems work through the input, processing, and output cycle. Using the Text, LLM, and Print blocks in the Ozobot Editor, they ask questions, test responses, and experiment with different types of outputs—such as words, numbers, and true/false results.
Grades: 6-12
Subjects: Computer Science, ELA, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, ISTE
Ozobot Editor Essentials 16: Prompt Engineering
In this lesson, students discover how the wording of a question influences AI responses. By practicing prompt engineering in the Ozobot Editor, they learn to write clear, specific prompts and refine them to produce more accurate and useful results.
Grades: 6-12
Subjects: Computer Science, ELA, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, ISTE, CCSS
Ozobot Editor Essentials 17: Computer Vision
In this lesson, students connect a camera to the Ozobot Editor and ask AI to respond to a series of questions. By prompting the LLM block to analyze an image, they observe how visual input is processed and see the AI’s responses printed in the console.
Grades: 6-12
Subjects: Computer Science, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, ISTE
Making Decisions with Computer Vision
In this lesson, students explore computer vision by connecting a camera and asking questions through the LLM. As the AI interprets visual input, Ozobot responds by moving in the correct direction, helping students see how perception and decision-making work together.
Grades: 6-8
Subjects: Computer Science, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, ISTE
Invisible Inputs: Analyzing Bias in AI Healthcare Tools
In this lesson, students examine how biased proxy data caused a healthcare algorithm to underestimate the needs of certain patient groups. From there, they analyze the case, discuss fairness, and use Color Codes to model how design choices can impact equity in AI systems.
Grades: 9-12
Subjects: Computer Science, AI
Academic Standards: CSTA, ISTE, NGSS
Think Like a Model: Large Language Model
In this lesson, students run a program that simulates training a LLM and make a prediction about the next color. Students will write the beginning of a short story, then exchange with a partner who will finish the story and design a pathway for Ozobot to follow.
Grades: 9-12
Subjects: Computer Science, ELA, Engineering/Tech, AI
Academic Standards: CSTA
