Books
- Book: AI Super-Powers: China, Silicon Valley, and The New World Order
- Book: Architects of Intelligence: The truth about AI from the people building it
- Book: Artificial Intelligence: A Guide for Thinking Humans
- Book: Artificial Intelligence: A Modern Approach
- Book: How Smart Machines Think
- Book: Teaching AI: Exploring New Frontiers for Learning
- Book: The Future Computed: Artificial Intelligence and Its Role in Society
- Book: What to Think About Machines That Think
- Book Chapter: Artificial Intelligence Thinking in K-12
- Book Series: Hands-On AI Projects for the Classroom
- Book: Power On
Reports
- Report: Automation and Artificial Intelligence: How machines are affecting people and places
- Report: Building Capacity for K-12 Artificial Intelligence Education Research
- Report Executive Summary: State of AI Education in Your State
- Report: The Future of Problem Solving with Data and Intelligence: Increasing Artificial Intelligence and Data Science Education Across the US
- Report: K-8 AI Career Competencies
Children’s Books
- Book: A Fresh Squeeze on Data
- Book: How to Train Your Robot
- Book Series: AI and ME (ReadyAI)
- Book Series: AI Made Simple (edsquare)
- Book Series: The World of Artificial Intelligence 4D
- Book Series: Tinker Toddlers
Competitions
- Competition: Halite
- Competition: WAICY (World Artificial Intelligence Competition for Youth)
Curriculum Materials
- Curriculum: AI4ALL Open Learning
- Curriculum: AI & Cybersecurity for Teens (ACT)
- Curriculum: AI and Machine Learning Module (Code.org middle school curriculum)
- Curriculum: AI for Oceans (Code.org machine learning intro)
- Curriculum: AI plus Ethics for Middle School (Blakely Payne, MIT)
- Curriculum: Code.org AI Curricula (Code.org) [direct link]
- Curriculum: CS Frontiers: AI/ML
- Curriculum: DAILy Curriculum (Irene Lee, MIT)
- Curriculum: ECS Alternate Curriculum Unit on Artificial Intelligence
- Curriculum: FarmBeats for Students (Microsoft Education) [direct link]
- Curriculum: IBM Activity Kits on AI
- Curriculum: Thinking with KIBO: Introducing Artificial Intelligence in Early Grades (KinderLab Robotics)
AI CTE/CTAE Frameworks
- Georgia’s AI CTAE Frameworks (Approved) – 3 Course Sequence – Foundations of AI – AI Concepts – AI Applications
- Florida’s AI CTE Framework (Under Review) – Draft 4 Course Sequence – AI in the World, Applications of AI, Procedural Program (Python), Foundations of Machine Learning
Demos
- Demos: Convolutional Neural Nets
- Demo: Erase Your Face
- Demo: FaceMesh [direct link] Real-time face mesh from webcam
- Demo: Hand Pose Detector [direct link] Real-time palm and finger detection from webcam images (source)
- Demo: Neuron Sandbox [direct link] Sove problems using a simulated linear threshold unit.
- Demo: Object Detection [direct link] Real-time object detection from webcam images
- Demo: pix2pix
- Demo: Scroobly Doodle Animation [direct link] see video
- Demos: Spectrograms and Waveforms
- Demo: Speech Recognition in Chrome
- Demo: Talk to Transformer [direct link]
- Demo: Teachable Machine
- Demo: TensorFlow Playground
- Demos: TensorFlow.js Models [direct link] (video)
- Demos: University of Karlsruhe [direct link]
Lists of Links
Online Professional Development Courses
- Online Course: AI 101 for Teachers (Code.org)
- Online Course: Artificial Intelligence Explorations and Their Practical Use in Schools (ISTE)
- Online Course: IBM AI Education (IBM/MindSpark)
- Online Course: Teaching AI in the Classroom (CSER, Australia)
Online Courses for K-12 Students
- Online Course: AI and ME (ReadyAI)
- Online Course: AI Foundations Powered by ISTE and IBM
- Online Course: AI4All Open Learning (AI4All)
- Online Course: Elements of AI (Reaktor + University of Helsinki)
- Online Course: Introduction to Q-learning in Python (LoisLab)
Reference Sources and Tutorials (Direct Links)
- The Artificial Intelligence Wiki (PathMind): encyclopedia-like accessible explanations of concepts in AI reasoning and machine learning
- Towards Data Science: blog with a mix of introductory articles and detailed technical explorations
- An Explanation of Machine Learning Even You Can Understand (TheNextWeb): quick survey of the fundamentals
- The difference between AI and machine learning, explained (TheNextWeb): insightful discussion of the nature of AI and its relationship to ML
Research
Resource Directories
- Resource Directory: AI for Teachers (Activities, lesson plans, demos, projects)
- Resource Directory: Expore AI Ethics
- Resource Directory: Learn About AI at Code.org
- Resource Directory: MIT RAISE (Responsible AI for Social Empowerment and Education)
- The Best Online Machine Learning Courses (2022)
- Software Packages
- Software: AI and MIT App Inventor
- Software: Calypso for Cozmo
- Software: Cognimates
- Software: eCraft2Learn
- Software: Machine Learning for Kids
Videos
- Documentary: AlphaGo
- Documentary: CyberWork and the American Dream
- Documentary: Frontline: In the Age of AI
- Video Playlist: Computer Vision (5 videos on computer vision projects at Google)
- Video Series: Crash Course Artificial Intelligence (20 episodes)
- Video Series: Crash Course Computer Science (5 episodes deal with AI)
- Video Series: EverydAI
- Video Series: How AI Works (from Code.org)
- Video Series: The Age of AI (YouTube Learning; 8 episodes)
- Video: Computer Scientist Explains Machine Learning in 5 Levels of Difficulty [direct link]
- Video: How Computer Vision is Finally Taking Off, After 50 Years
- Video: How Computer Vision Works
- Videos: How Self-Driving Cars Work
- Video: How Snapchat’s Filters Work
- Video: How to Train Your Robot (for K-8)
- Video: Humans Need Not Apply
- Video: Lidar vs. Vslam For Robot Vacuums [direct link]
- Video: The Power and Limits of Artificial Intelligence
- Video: The Rise of AI