How To Teach Your Kids Ai
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HOW TO TEACH YOUR KIDS AI
Wondering how to explain Artificial Intelligence to your kids? This beautifully designed activity book is the perfect way to explore AI together—no tech experience required! How to Teach Your Kids AI is a creative, screen-light guide that turns big tech topics into fun, age-appropriate activities. Ideal for children ages 6 to 12, it covers everything from what AI is and where it’s used, to digital safety, creativity, and ethical thinking. 💡 Perfect for: ✅ Parents of curious kids ✅ Homeschooling families ✅ Grandparents looking for a smart gift ✅ After-school enrichment & weekend learning 📚 What’s Inside: ✔️ Simple explanations of AI concepts ✔️ Over 15 creative, hands-on activities ✔️ Printable worksheets & discussion prompts ✔️ Family-friendly tips for digital safety ✔️ A fun glossary of AI words for kids ✔️ Links to free online tools & learning games 🎯 Kids Will Learn: What AI is and how it works How to spot fake content and stay safe online How to think critically, solve problems, and ask questions How to use AI to create stories, music, drawings, and more 🎁 Why Parents Love It: No coding required Designed for co-learning (child + adult) Printable pages & offline options Great for screen breaks, rainy days, or gifting 🖨️ Available in: 📥 Digital Download (PDF) – Print at home or use on a tablet ✨ The future is AI-powered—this book helps your family learn it, explore it, and have fun with it.
Machine Learning for Kids
A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language. AI Made Easy with 13 Projects Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code! Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them. You’ll turn your models into 13 fun computer games and apps, including: A Rock, Paper, Scissors game that recognizes your hand shapes A computer character that reacts to insults and compliments An interactive virtual assistant (like Siri or Alexa) A movie recommendation app An AI version of Pac-Man There’s no experience required and step-by-step instructions make sure that anyone can follow along! No Experience Necessary! Ages 12+
How to Teach AI
Author: Rachelle Dené Poth
language: en
Publisher: International Society for Technology in Education
Release Date: 2024-08-13
Get practical tools and strategies for teaching AI across the K-12 curriculum with this accessible guide. As AI continues to transform our world, educators have a responsibility to stay current with the changes, and ensure that students have the necessary knowledge and skills to succeed in the future. Written by an educator who is currently teaching on this topic, How to Teach AI shares practical strategies and tools based on what good practice looks like in the classroom right now. Readers will build confidence in integrating AI into their curriculum so they can effectively prepare students for their careers. Taking a friendly and accessible approach, the book covers a range of topics related to AI, such as machine learning, robotics and natural language processing, and includes examples of how these technologies are being implemented in different industries and their impact on education. The book includes a chapter dedicated to the ethics of AI, addressing issues around bias, intellectual property, student data privacy and more. The book includes: • Ideas for using generative AI in the classroom and tips for writing effective prompts. • Activity ideas across content areas, including computer science, economics, literature, music and more. • Time-saving ideas for teachers, and study aids for students to explore. • AI-powered tool recommendations for teachers. • Questions for reflection in every chapter. With examples from educators in the field, and a variety of resources to apply in the classroom, this book helps educators become comfortable with this important topic and create meaningful learning experiences for their students.