Curriculum Overview
Responsible AI for Computational Action (RAICA) is a project-based curriculum designed to help students and teachers learn about artificial intelligence by tinkering, exploring, and applying new knowledge to build projects they care about. Each module includes lessons to grow AI fluency, apply responsible design, and exercise computational thinking. RAICA applies the Universal Design for Learning guidelines and TPACK framework to create inclusive, empowering, and accessible materials.
All RAICA lessons have been designed to align with AI4K12, CSTA, UNESCO, and UK Computing standards.
The RAICA project is on hiatus as of summer 2026.
Middle School Curriculum (Ages 11-14)
| Module | Topic | Special required technology* | Facilitator materials | Example Projects |
|---|---|---|---|---|
| Let's Chat | - Natural language processing - Text classification | – | Make a copy | View |
| Social Robots | - Affective computing | Craft supplies, including cardboard | Make a copy | View |
| Doodlebot | - Use Doodlebot to program further learn about social robots (through sensors and programming) | Doodlebot robots: at least one for every three students | Make a copy | View |
| Picture This + RAISE Playground | - Image classification - Computer perception - Neural Networks | – | Make a copy | Template Teachable Machine project |
| ¡Mira, Imagina, y Crea! (Picture This en español) | Haga una copia | Example projects: - Pasta classifier (source code) - Fact or opinion? (source code) - Jumping game (source code) | ||
| Picture This + App Inventor | Smartphones/tablets for testing apps | Make a copy | View | |
| Win/Lose/Learn | - Reinforcement learning - Q-learning | – | Make a copy | coming soon |
High School Curriculum (Ages 14-19)
| Module | Topic | Special required technology* | Facilitator materials | Example projects |
|---|---|---|---|---|
| App Inventor + LLMs | - Generative AI - Large language models | Smartphones/tablets for testing apps | Make a copy | View |
| Python + Data Science | - Data science - Pandas library for Python | – | Make a copy | coming soon |
Capstone Curriculum
| Module | Topic | Special required technology* | Facilitator materials | Example projects |
|---|---|---|---|---|
| Middle School Capstone | - What AI project are you inspired to make? - Image classification - Machine learning - Affective computing | Optional: Doodlebots. | Make a copy | coming soon |
| Capstone (App Inventor) | - What AI project are you inspired to make? - Generative AI - Large language models | - Smartphones/tablets for testing apps - Optional: micro:bits | Make a copy | coming soon |
*All RAICA modules require student laptops/chromebooks (ideally 1 device per student) as well as a classroom projector. Tablets are not recommended unless when otherwise noted.