Resources

Artificial Intelligence is trained for fluency, not truth. It can sound compelling, even when it's wrong. That’s why understanding how the tool works and its limitations is essential. 

aiEDU provides comprehensive resources that introduce AI to students in an interactive, thought-provoking, and accessible manner. They start with the fundamentals and then move on to more complex topics.

AutomatED, led by educator Graham Clay, offers detailed, step-by-step guides that help teachers build AI literacy through practical, classroom-focused applications of AI tools like Google’s LearnLM.

Blueprint for Action: Comprehensive AI Literacy for All urges education systems to embed AI literacy in every learner’s journey, spanning curriculum, educator preparation, and public infrastructure. AI literacy equips learners with knowledge and skills to thrive in technology-driven workplaces and civic life.

Common Sense Media offers free, short AI literacy lessons and a self-paced course co-designed with OpenAI to help educators and students effectively navigate and use AI tools.

CRAFT AI Literacy Resources is a collection of AI Literacy resources designed for high school teachers to help students explore, understand, question, and critique AI.

Day of AI empowers teachers and students to learn, think critically, and create with artificial intelligence through free curriculum and training developed by MIT RAISE.

Department of Labor (DOL or Department) AI Literacy Framework provides a common foundation to guide AI literacy efforts for workers, employers, training providers, teachers and faculty, state and local agencies, and other workforce and education system stakeholders. The framework identifies foundational content areas and delivery principles that can inform program design while allowing for flexibility and adaptation across industries, roles, and contexts.

Digital Education Council AI Literacy Framework - The Digital Education Council (DEC) has introduced an AI Literacy Framework to help higher education institutions build AI literacy among students and faculty.

Digital Promise explores how artificial intelligence can be responsibly integrated into education and offers resources to build AI and digital literacy for educators and students. AI Literacy Framework

Future of Being Human newsletter by ASU professor Andrew Maynard is a fun, insightful resource for staying current on AI in education and emerging innovations, with accessible commentary and timely updates.

ISTE+ASCD offers K-12 lesson plans and professional development opportunities, as well as early access to StretchAI, an AI tool specifically designed to coach educators on integrating AI into the classroom. 

Michigan Virtual AI Literacy Resources make it easy to explore what AI is, why it matters, and how to use it wisely in schools.

My Digital Life is a,free, interactive digital citizenship program created by Discovery Education and Norton to teach K-12 students about online safety, digital privacy, and cybersecurity. It provides animated videos, lesson plans, and activities on topics like avoiding scams, cyberbullying, and artificial intelligence. 

TeachAI provides a framework for AI literacy that blends technical understanding with critical skills and future-ready mindsets.

Common Sense Media - AI Professional Development for Educators offers free, self-paced training to help teachers understand and responsibly integrate artificial intelligence into their classrooms, emphasizing ethical use and student safety.

DeepLearning - An education technology company that offers accessible, world-class AI and machine learning courses, hands-on training, and a global community to empower individuals in building AI-powered futures. 

Google

• Introduction to Generative AI  is a free, 45-minute microlearning course that explains the fundamentals of generative AI, its applications, and how it differs from traditional machine learning, while introducing Google tools to help you build your own Gen AI apps.

• Introduction to Responsible AI  is a free, 30-minute microlearning course that introduces the fundamentals of responsible AI, explores Google's seven AI principles, and emphasizes the importance of ethical decision-making throughout the AI development lifecycle.

• Introduction to AI and Machine Learning  is a free, 30-minute microlearning course that introduces the fundamentals of responsible AI, explores Google's seven AI principles, and emphasizes the importance of ethical decision-making throughout the AI development lifecycle.

Harvard University– CS50's Introduction to Artificial Intelligence with Python is a free, self-paced, 7-week course that teaches foundational AI concepts through hands-on Python projects, equipping learners to design intelligent systems.

IBM - Machine Learning with Python is a 6-week intermediate course that teaches core machine learning concepts using Python and Scikit-learn, preparing learners with job-ready skills through hands-on projects and real-world applications.

Microsoft - AI for Beginners is a free, 12-week curriculum comprising 24 lessons introducing foundational AI concepts through hands-on projects designed to provide beginners with practical experience and a solid understanding of artificial intelligence. 

OpenAI Academy - OpenAI has launched a free online resource hub designed to expand AI literacy and accessibility for learners of all backgrounds. The Academy aims to empower individuals with AI skills for personal and professional growththrough expert-led workshops, on-demand videos, and community discussions.

AI Foundations is a semester-long high school CS course for the AI era. Computational thinking, AI, data science, cybersecurity, and ethics in one flexible, future-ready curriculum. No AI experience needed.

Machine learning is a type of artificial intelligence that allows computers to learn from examples and data, rather than being programmed with exact rules. It helps computers find patterns, make predictions, and improve over time—similar to how people learn from experience.

• Google Experiments with AI include fun, interactive experiments (e.g., drawing recognition, music generation) that make ML concepts tangible.

• Machine Learning for Kids combines Scratch-style coding with simple ML models. Students can train their own models and use them in games or projects.

• Micro:bit CreateAI is a free, web-based tool from the Micro:bit Educational Foundation that allows students to explore Artificial Intelligence and Machine Learning (ML) by training models to recognize physical movements like waving, jumping, or clapping. It utilizes the micro:bit's accelerometer to collect data, enabling, interactive, real-world AI applications.

• Teachable Machine - Students can train models to recognize images, sounds, or poses with just a few clicks. No coding required. Great for quick demos or projects.

Language barriers often impede effective communication between educators and families whose native language is not English. While there are tools to help families understand educators, there is a significant need for tools that enable educators to truly hear and understand what families are saying, promoting an asset-based approach that values their contributions. Leveraging AI tools to enhance communication with families whose native language is not English is critical to creating an inclusive and supportive educational environment. By promoting meaningful two-way communication, fostering asset-based thinking, and deepening relationships, we can ensure that all families are heard, valued, and actively engaged in their children's education. 

• Supporting Multilingual Families Using AI

• AI Resources for Multilingual Learners

AI agents are computer programs that can observe, decide, and act to achieve a goal. Instead of waiting for step-by-step instructions, they can work on their own, respond to changes, and sometimes even improve over time. Think of them like helpful digital assistants or smart characters in a video game—they look at what’s happening, figure out the best move, and then take action.

• America's AI Action Plan - July 2025

• Presidential AI Challenge - July 2025

• Advancing Artificial Intelligence Education for American Youth - April 2025

• Removing Barriers to American Leadership in Artificial Intelligence - January 2025

• 10 AI Tools for Academic Research

• AI Club

• A.I. for Educators - John Spencer 

• AI Infused Classroom - Holly Clark and AI Guides

• AI Resources - Eric Curts 

• Code.org - Short Videos

• Ditch That Textbook A.I. for Educators - Matt Miller

• Framework for Implementing Artificial Intelligence (AI) in K-12 Education

• Open Learning Curriculum

• PBS Media Learning and Artificial Intelligence

• REMC AI in Education