Students will learn about artificial intelligence and think imaginatively about future AI possibilities.

This lesson introduces your students to the micro:bit’s movement sensor which they use to collect data samples from their own physical movements using micro:bit CreateAI.

How does artificial intelligence influence what we see online?

Explore how social media systems respond to user interactions using a classroom simulation. Co-developed by the Raspberry Pi Foundation and Digital Moment.

In this unit, students explore the intersection of creativity and technology by examining how artificial intelligence contributes to the arts.

Students will learn all about artificial intelligence and think creatively about AI innovation.

Ever wondered how to talk to a robot? In this lesson, you'll meet Sphero’s AI assistant that can explain your code step-by-step. You’ll explore a BOLT+ program and use the AI assistant to understand and then modify a program that will really shake things up.

Books to help kids think, question, and imagine with AI.

How can AI chatbots impact our idea of friendship?

Why are AI chatbots designed to sound so human-like, and how can that impact our everyday lives?

In this activity, students play the role of detectives to investigate how AI products are described in marketing claims. Developed independently by the Raspberry Pi Foundation.

Students will analyze examples of AI in daily life and categorize them as a Helper (beneficial), Hinderer (problematic), or Hero (life-changing) to critically evaluate their societal role

Program the Minecraft Agent to collect data about forest fires. Learn coding basics and explore a real-world example of artificial intelligence.

Learn how AI and machine learning can be used to address world problems.

Young learners are introduced to the world of artificial intelligence through stories, movement, and play.

Students will explore how Seesaw uses AI in tools such as Reading Fluency, Read-with-Me, and Message Translation to support learning, accessibility, and communication, while keeping students safe.

Students will explore how Seesaw uses AI in tools such as Reading Fluency, Read-with-Me, and Message Translation to support learning, accessibility, and communication, while keeping students safe.

Explore how AI shapes everyday life with quick activities that build curiosity and responsible digital citizenship, in just 15 minutes!

Students will learn about AI's strengths and limits, sign an AI Safety Pledge, and reflect on the importance of safe and responsible use of AI.

In this lesson, students will evaluate sample student data.

Students will explore how Artificial Intelligence can be used to solve problems, learn strategies for identifying reliable sources, and make informed decisions about using AI responsibly.

What is the impact of artificial intelligence on how we learn and create?

AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast.

One day self-driving cars may take over our roads but indi can drive autonomously right now! Making them drive safely and autonomously includes the idea of training–the process of teaching a program so that it behaves the way we want it to. In this lesson, students explore how indi drives, the rules it follows, and then see if they can change those rules or “train” indi to follow a given path.

Balancing Act is a beginner activity where students design a webcam‑controlled game using physics‑engine blocks, AI pose detection, and loops. The challenge involves balancing a ball on a moving platform using head movements.

Students will learn how to be digital leaders when using Artificial Intelligence tools.

Use Microsoft MakeCode Arcade to code and train your own super-smart bug using AI algorithms and challenge other AI bugs in an epic Tower battle for ultimate Bug Arena glory!

Students will learn how to use AI to support their problem-solving and creativity while still creating their own original work.

Students will learn how to use AI to help solve problems and be creative while making their own original work.

Go beyond the surface and explore AI ethics, critical thinking, and data literacy. Don’t just accept AI at face value—dig deeper and discover the power of mindful technology use!

Students will explore real-world situations where they might use Artificial Intelligence and practice making smart, responsible choices when using these tools.

In this activity, learners of all ages get an introductory experience with coding and artificial intelligence in a safe and creative environment.

Students explore how people collect and organize data, discover how AI learns from examples, and see how AI supports creative careers like digital animation.

Students will explore how to design AI thoughtfully and responsibly and how AI can be used to solve real-world community problems.

Students will explore how to design AI thoughtfully and responsibly and how AI can be used to solve real-world community problems.

Students learn the value of being digital citizens, for themselves and for others, while they’re using AI.

Learn about the benefits and challenges of artificial intelligence while exploring Quick, Draw!, AutoDraw, Google Translate, and Google Slides.

This lesson is for students aged 8-12 and introduces artificial intelligence (AI) as a set of computer tools created by humans to help solve difficult problems. Developed independently by the Raspberry Pi Foundation.

Students build a foundational understanding of artificial intelligence by exploring what AI is, how it learns from data, and how it makes predictions.

Students will explore how we engage with AI when it provides content and recommendations. They will learn to recognize when AI is being used, evaluate the accuracy and helpfulness of its responses, and develop a basic understanding of how AI makes suggestions.

Students will learn how to engage with AI, evaluate the accuracy of its responses, and develop an understanding of how AI makes suggestions.

In this lesson students will explore and improve block code that uses their ML model in a Microsoft MakeCode program, download their project to their micro:bit and test it out.

Students will learn to make ethical choices by checking information from AI, creating their own original work, and keeping personal information private.

Students will practice making responsible and safe choices by checking AI information, creating their own ideas, and keeping personal information private.

Students move from understanding how artificial intelligence works to evaluating when, why, and whether it should be used.

In this lesson students put their project on a micro:bit to test it themselves and allow other students to test it.

In this unplugged lesson, students build on what they already know about data by sorting cards, identifying patterns and differences, and the rules they used to sort them.

Use Scratch Face Sensing blocks to control a game with a face tilt, draw with your nose, create face filters, and more! Test for false negatives or positives.

What are the benefits and risks of facial recognition?

Discover how to unlock the power of AI through a wondrous world! Practice the skills to understand, evaluate, and utilize this exciting technology. Shape the future with AI literacy!

These resources allow 8 - 12 yr old students to explore how AI systems can be used to predict flooding. Co-developed by the Raspberry Pi Foundation and Digital Moment.

The game where AI judges your drawing skills

Students use a micro:bit and CreateAI to train a waving-action machine learning model, explore how biased data shapes AI behavior, and discuss our responsibilities as both creators and consumers of AI.

In this fun tutorial, venture through time to create helpful AI-powered inventions. Code with MakeCode blocks or Python and build better AI for all! Available as a free demo in Minecraft Education.

Survive your first Minecraft night with an AI Agent! Train it to gather resources, craft tools, and build shelter. Solve coding puzzles with MakeCode or Python and learn why AI needs human oversight.

What are the impacts of AI bias?

Elementary AI Explorations: How can we make AI fair for everyone? empowers students to explore AI ethics, fairness, and responsibility with activities that encourage critical analysis of AI's impact on society.

Depending on the grade/age level, students explore different types of machine learning, ranging from supervised, unsupervised, and reinforcement.

In this short unit, students learn the difference between rule-based programming and reinforcement learning using Scratch block coding.

In this activity, students learn how AI works by finding patterns in training data and using those patterns to make predictions about new data.

How does data determine what artificial intelligence can do?

This unit introduces young learners to foundational ideas about what machines are and how they learn, without devices!

Students will learn about artificial intelligence by thinking about humor and digital personalities.

This unplugged lesson introduces you and your students to AI.

This lesson introduces you and your students to ML (machine learning).

In this meeting, students will explore the fundamentals of artificial intelligence by learning about four big ideas about AI: (1) AI can understand the world, (2) AI can learn, (3) AI can make a plan on its own, and (4) AI can make mistakes.

This unit introduces students to the foundational idea that machines are human-made tools designed to help people do work and solve problems.

Students will learn about the knowledge, skills, and attitudes required to use AI safely and responsibly.

Students will learn about the knowledge, skills, and attitudes required to use AI safely and responsibly.

In these unplugged lessons, students learn that technology is programmed to identify patterns in examples and it uses those patterns to make predictions.

In this meeting, students will use Teachable Machine to create a machine learning model that recognizes a hand wave.

Students will design a simple AI-inspired solution using the engineering design process.

This lesson will introduce students to the fundamentals of Artificial Intelligence (AI) and machine learning by focusing on predictive data models.

This curriculum introduces students to basic concepts of data literacy through the lens of weather, and climate change.

Students will learn how to manage AI thoughtfully by deciding when to use it, giving clear instructions, and ensuring its use is fair and human-centered.

Students will learn how to manage AI thoughtfully by deciding when to use it, giving clear instructions, and ensuring its use is fair and human-centered.

Bring dance, music, and coding together in Mix & Move with AI! In this fun, self-guided activity, students use AI to design a custom dancer, generate code for a musical remix, and choreograph moves to the beat.

This activity uses hands-on materials, imaginative play, and iterative development to demystify Artificial Intelligence and machine learning models.

First, students will work in small groups to plan, train, and test a new model. Next, they analyze tester feedback and confidence scores to identify any problems in their model. Students explore different tactics for improving model performance, choose one, then retrain and test their model. Finally, students reflect on advice they would give to Teachable Machine novices or model fairness.

Bring music and coding together with our Music Lab: Jam Session tutorial! In this fun, self-guided activity, students remix tracks from popular artists like Sabrina Carpenter, Lady Gaga, and Shakira, learning coding basics like sequencing and functions while exploring AI-powered beat creation. Perfect for sparking creativity and confidence!

Can you spot the odd one out? Guess the AI generated “imposters” hidden among the artworks on Google Arts & Culture.

Our step-by-step guide helps individuals, schools, or districts plan their Day of AI implementation.

Students explore foundational concepts that prepare them to understand artificial intelligence throughout their educational journey.

Quick, Draw! is a free, fast-paced browser game by Google that teaches artificial intelligence literacy by having a neural network guess your doodles in 20 seconds

Join Detective Reed Smart to investigate curious cases of AI misuse in this mystery! Analyze deepfakes, spot AI-generated content, and learn how AI works, as you follow clues and analyze evidence.

Students learn what clues AI needs and what it gives back, the importance of questioning information created by AI, and how to identify biases that can appear in AI output.

Elementary AI Explorations: Responsible AI Use invites students to think carefully about the decisions that come with using AI — which tool to reach for, whether AI is actually worth it, when humans need to stay in charge, and what it means to keep their own thinking in the work.

Learn the art of image prompting with the help of Google AI.

In this lesson, students will create an artifact explaining their opinion on using AI tools.

Students will learn about artificial intelligence by thinking creatively about AI innovation.

In this lesson students put their project on a micro:bit and allow other students to test it out. They identify how adding more data could strengthen the ML model by making it work better for more people.

In this session, students iterate on their models, deepening their understanding of this critical step in human-centered design.

Students will be introduced to their unit-long "Strike a Pose: Feeling Detector" project, where they'll work in small groups to create a machine learning model that detects two different feelings through poses.

In this meeting, students will present their project to each other and any other community members you invite.

In this session, students use their project plans to train and test their models. After training, they explore the importance of testing through the lens of human-centered design as a way to make their models work well for more people.

Train a computer to recognize your own images, sounds, & poses.

Students will learn about artificial intelligence and think deeply about how AI can solve problems.

Students comprehend the environmental impact of artificial intelligence (AI), including both its positive and negative effects.

Use Tynker’s AI blocks to make a virtual monster come alive! Create a character that responds to hand movements.

In this lesson, students will learn about how the inputs they give a machine learning model directly impact the predictions that the model makes.

In this lesson students will train and test a machine learning (ML) model using their own movement data and improve their model through adding more data.

Two Truths & AI is an interactive digital literacy game for grades K–12 that teaches students to identify AI-generated content and develop critical media literacy skills.

How does AI bias happen?

Students deepen their understanding of how artificial intelligence makes predictions, recommendations, and decisions.

In this lesson, students will begin thinking about how to classify real world objects by their features.

A hands-on way to help students build AI literacy and vocabulary through short, student-friendly activities that connect definitions to real-world examples.

Make it rain! Use Tynker's Pose Tracking blocks to control the weather.

What is artificial intelligence and what are its potential benefits and drawbacks?

Students learn the basics of artificial intelligence (AI)—what it is and how it works.

Elementary AI Explorations: What is AI? introduces students to AI concepts like machine learning, pattern recognition, and decision-making through hands-on activities that spark critical thinking and analysis.

Students will develop an understanding of Artificial Intelligence by exploring what it is, how it works, and how people use it.

Students will learn what Artificial Intelligence is, how it works, and how people use it.

This activity introduces children (ages 5–7) to Artificial Intelligence in a developmentally appropriate manner! Students explore the difference between artificial and natural items and learn how machines act “smart” by using sensors and more!

A foundational set of lessons for all students to begin their AI literacy journey.

These lessons introduce students to influential women in AI and computer science, emphasizing their contributions and the importance of diversity in technology.