Day of AI Curriculum
Comprehensive K-12 AI literacy education developed by MIT RAISE faculty and educators. Following UNESCO AI Competency Framework with spiral curriculum approach.
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Materials and Resources
Every curriculum includes educator guides, teacher slides, and student pages. Accessible content relevant to all learners, organized by recommended levels and ages.
🎯 Spiral Curriculum Approach
Following the UNESCO AI Competency Framework for Students, our curriculum ensures students are exposed to progressively developing AI knowledge and skills.
- • AI concepts revisited with increasing complexity
- • Strong foundation through repeated exposure
- • Practical application at every level
📋 Planning Resources
Comprehensive planning tools to help educators implement AI literacy in their classrooms effectively.
🎓 AI Literacy Foundations
Essential foundational AI literacy skills for all students. All age groups should begin their AI journey here.
AI for Early Elementary
An introductory set of activities for young learners to understand AI through engaging activities and simple explanations.
🎯 What Students Learn:
- • Difference between artificial and natural items
- • How machines use sensors like cameras and microphones
- • Interactive sorting activities
- • Create their own AI robot drawings
What is AI?
An introduction to what AI is and how it works. No prerequisites needed.
1. What is AI?
Common definition introduction and classification games
45-60 minutes2. How Machines Learn
Data, datasets, and Google Quick Draw exploration
45-60 minutes3. What is Algorithm?
Algorithm definition and experiential activities
45-60 minutesHow Do Machines Learn?
Exploring how AI models are built and the potential risks of that process.
1. Teachable Machines
Train machines to recognize images hands-on
60 minutes2. Bias in AI
Understanding algorithmic bias and data impact
30 minutesHow Do Machines Create?
Discover how generative AI creates new content and examine its technology and ethical impacts.
1. What is Generative AI?
Classification vs creation, pattern recognition
60 minutes2. Generating Images
GANs and Diffusion Models exploration
45 minutes3. Deep Fakes
Ethical implications and guidelines creation
30 minutesAI and Ethics
Materials to hold class debates on AI or create an AI Code of Conduct! Activities can be taught in any order.
1. AI Ethics Debate
Structured class debate with stakeholder perspectives
60-90 minutes2. Ethical Use Exploration
Self-guided exploration and guidelines creation
60-90 minutes🚀 AI Applications
Enhance foundational AI literacy skills and explore AI tools and ethical concerns further. These units build upon the foundation modules.
AI and the Creative Arts
Explore how AI impacts music, visual arts, writing, film, and digital media. Compare human and AI-generated art, discuss ethics, and experiment with AI tools.
Ages 9-11 Version
AI-assisted art, music, stories, self-portraits, ethics posters
Ages 12-18 Version
Four lessons + stakeholder debate on AI's role in arts
The Brain Behind the Bot
Chatbots, Bias, and Productive Use of AI for Kids. Understanding how chatbots work and their impact.
1. What Are Chatbots?
How chatbots function and student reflection
60 minutes2. Exploring Bias
"Interrogating the internet" for bias detection
60 minutes3. Human Connection
Mapping moments of connection and AI's role
50 minutes💼 Careers in AI
Learn how AI is impacting businesses and careers across different industries.
60 minutes🌍 Making Sense of Our Surroundings
Data Science and Climate Change series with observation and visualization activities.
6 lessons • 45-60 min each💻 Going Beyond AI Literacy
Advanced units for deeper engagement, creative problem-solving, and coding applications. Perfect for students ready to dive into AI programming.
Block-based AI Programming Courses
Using Scratch, AppInventor, and Micro:bits for image classifiers, generative AI apps, speech AI, and climate modeling projects.
🌱 Ecobits Explorers
Environmental data collection with Micro:bits
6 lessons • 45-60 min each🧊 IceMelt Climate Modeling
AppInventor climate data visualization and AI
Ages 14-18 • 4 lessonsAI Programming Courses with Python
Comprehensive Python courses teaching AI through coding, data science, and real-world applications.
📊 How Are We Quantified?
Data activism, Python basics, Pandas library
8 lessons • 35-65 min each🎯 How Do Machines Rate Us?
Advanced Python, college data analysis
9 lessons • 20-45 min each🌡️ Climate Stories with Data
Data narratives and machine learning
6 lessons • 45-90 min eachBring Day of AI to Your Classroom
Give your students an opportunity to learn how artificial intelligence is already transforming our lives and how they can become part of shaping AI to create a better future world for all.