Introduction to AI-Assisted Coding
In this activity, students learn how to use AI as a coding partner to design and build their own Connections-style word game. They will explore how to prompt …
Explore one-hour AI activities and lesson plans for your classroom.
19 activities
In this activity, students learn how to use AI as a coding partner to design and build their own Connections-style word game. They will explore how to prompt …
In this activity, students learn the basics of prompt engineering by experimenting with AI chatbots. They will compare simple and detailed prompts, refine their inputs through iteration, and …
In this activity, students explore how AI models learn from training data through hands-on simulations. They will see how examples shape AI predictions, test their own training sets, …
In this activity, students explore how AI can recognize and respond to different communication systems. They will test AI models trained to recognize letters and sign language, then …
Students explore how AI interprets human emotions in text using a processcalled Sentiment Analysis. Through examples, discussions, and hands-on model training, students will see how context, tone, and …
In this activity, students build, train, and test a machine learning model to classify music into genres using Teachable Machine. They explore how the amount and variety of …
Students use CodeHS Vibe Coding to recreate a website with AI. They compare results from simple and detailed prompts, refine their instructions, and reflect on how prompt design …
Requires CodeHS Pro with Vibe Coding enabled.
Students will learn how AI uses data to make decisions by practicing sorting with simple rules. They will create and test their own decision trees to classify objects.
Students learn how AI recognizes patterns in data by training themselves to identify aliens called “blorgs.” They then create and share their own alien species to practice how …
In this activity, students learn about different machine learning approaches and explore how computers use data to recognize patterns and make predictions. They practice classification by building and …
Students learn how everyday AI, from self-driving cars to translation apps, learns from data. Groups weigh the pros and cons of one AI product for the people who …
Students learn how AI tools use patterns to sort information. They sort emojis with rules, decision trees, and charts, fix the computer's question when it sorts something wrong, …
Participants explore how generative AI responds to different prompts and learn strategies for effective prompt engineering. They practice with tools like Google’s Say What You See and then …
Participants explore the fundamentals of artificial intelligence by learning the difference between generative and predictive AI, experiencing real-world examples, and creating their own image classification model with Teachable …
Participants learn what a prototype is and use Bool, an AI-powered app builder, to turn their own idea into a working app. Through brainstorming, building, and refining, they …
In this lesson, students will use Tynker's AI (artificial intelligence) body tracking model to create a fun, interactive project where they can control the weather using gestures.
In this lesson, students will use Tynker's AI (artificial intelligence) body tracking model to create an interactive game where the player balances a ball on a platform using …
In this lesson, students will use Tynker's AI (artificial intelligence) hand tracking model to tickle a monster with their finger.
In this lesson, students will create an interactive project where they'll slice fruit on their screen by moving their right pointer finger.
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