Explore this month’s Lesson Spotlight, featuring two exciting themes: AI and Spring seasonal lessons. From programming Ozobot through Easter egg hunts to exploring how artificial intelligence powers autonomous vehicles and computer vision, there’s something for every grade level — available exclusively on Ozobot Classroom.
Easter Egg Hunt
In this lesson, students help Ozobot navigate an Easter egg hunt using Direction and Timer Color Codes. Racing against the clock, they will collect as many eggs as possible.
Grades: K–2
Subjects: Computer Science, Art, Engineering/Tech
Academic Standards: ISTE, CSTA
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The Easter Bunny Hop
In this lesson, students use conditional statements to program the Ozobot Easter Bunny’s reactions based on whether it finds its lost Easter egg basket. Through if/then logic, students build foundational decision-making skills in programming.
Grades: 3–5
Subjects: Computer Science, Engineering/Tech
Academic Standards: ISTE, CSTA
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How to Make Earth Happy
In this lesson, students explore how conservation helps protect our planet, then apply what they learn by programming Ozobot’s movement using Color Code markers. They practice u-turn, win/exit, and line-switching codes to bring Earth-friendly actions to life.
Grades: K–2
Subjects: Science, Computer Science, Engineering/Tech
Academic Standards: NGSS, ISTE, CSTA
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Planning the Perfect Picnic
In this lesson, students program Ozobot to navigate a map and gather ingredients for the perfect picnic using Color Codes. As Ozobot searches for a picnic basket, lemonade, sandwiches, and more, students reinforce sequencing and directional programming skills.
Grades: K–2
Subjects: Science, Computer Science, Engineering/Tech
Academic Standards: ISTE, CSTA
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LeapBot’s Adventure
In this lesson, students guide Ozobot through an adventure using Ozobot Blockly and Color Code markers, applying u-turn, win/exit, and line-switching codes to navigate each step of the journey.
Grades: 3–5
Subjects: Computer Science, Engineering/Tech
Academic Standards: ISTE, CSTA
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AI-Powered Population Maps
In this lesson, students use the LLM block to collect real-world population and land area data from 10 countries. They calculate population density, rank countries from most to least crowded, and create an AI-powered population map.
Grades: 6–8
Subjects: Math, Science, Social Studies, Computer Science, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: ISTE, CSTA, NGSS
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Prediction Pro
In this hands-on AI lesson, students explore how large language models learn by predicting what Ozobot will do next. They then program Ozobot to recognize patterns and follow story-based paths, making connections between repetition, prediction, and AI training.
Grades: 6–8
Subjects: Computer Science, ELA, Engineering/Tech, AI
Academic Standards: CCSS, CSTA, NGSS
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Autonomous Driving Intelligence
In this lesson, students work together to simulate how autonomous vehicles use computer vision and AI to detect and respond to pedestrians in real time. They program Ozobot to analyze the road and make safety-based decisions about when it is safe to move.
Grades: 9–12
Subjects: Computer Science, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, NGSS
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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 understand how perception and decision-making work together.
Grades: 6–8
Subjects: Computer Science, Engineering/Tech, SEL/Digital Citizenship, AI
Academic Standards: CSTA, ISTE
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Digital Zoologists: Researching with the LLM
In this lesson, students become digital zoologists by using the LLM block to research animals and create a field report. They test the LLM’s accuracy with different question types and program Ozobot’s behavior based on the responses.
Grades: 6–8
Subjects: Science, Computer Science, Engineering/Tech, Digital Citizenship, AI
Academic Standards: CSTA, ISTE
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