Day of AI Curriculum (EMAIL LOGIN IS REQUIRED)
Developed by leading faculty and educators from MIT RAISE (Responsible AI for Social Empowerment and Education) and other partners, the Day of AI curriculum aims to provide all students with the foundational knowledge necessary for our rapidly changing world. The Day of AI curriculum follows a spiral curriculum approach, as outlined in the UNESCO AI Competency Framework for Students. Students are exposed to progressively developing AI knowledge and skills, rather than isolated topics. AI concepts are revisited with increasing complexity, ensuring a strong foundation through repeated exposure and application. To learn more about AI Literacy and why it is vital for students, we recommend reading this informative article.
Materials and Resources
- 30 to 60-minute lessons, all available at no cost
- Accessible content relevant to all learners
- Organized by recommended levels and ages for implementation
- All curricula include an educator guide, teacher slides, and relevant student pages
This set of units is designed to give students foundational AI Literacy skills to thrive in our ever-changing society. All age groups should begin their AI Literacy journey here.
What is AI?
(Ages 8-10, 11-13, 14 and up)NEW: lower and upper grade activities! An introduction to what AI is and how it works
How Do Machines Learn?
(Ages 8-10, 11-13, 14 and up)Lessons exploring how AI models are built and the potential risks of that process.
How Do Machines Create?
(Ages 12-18)Students will discover how generative AI creates new content and examine its technology and its ethical impacts.
AI and Ethics
(Ages 10-18)Materials to Hold a Class Debate on AI or Create an AI Code of Conduct! (These activities can be taught in any order)
These units are designed to enhance students’ foundational AI literacy skills and allow them to explore and question AI tools and ethical concerns further.
Using AI for Creativity
(Ages 5-10)An alternative set of lessons for young learners to study AI and creativity!
ChatGPT in Schools
(Ages 8-18)An introduction to ChatGPT and discussion of how it may be used schools
These units are designed for students to dig deep beyond AI Literacy and may require a longer time commitment. Topics include data activism, exploring creativity with AI, building Chatbots, and AI programming with Blocks or Python. These topics also foster students’ creative problem-solving skills within coding applications.
How are We Quantified by AI?
(Ages 13-18)A more in depth set of lessons on how data is collected and used by AI
Careers in AI
(Ages 16-18)A lesson on how AI is impacting businesses and careers
Understanding AI in Social Media
(Ages 13-18)A series of lessons on the use of AI in social media and its ethical implications
Prerequisite: What is AI?
1. Data Clustering and Filter Bubbles
Students learn how clustering algorithms work, before acting out the part of a data scientist creating "recommendation systems" based on clusters. They then consider the implications of recommendations systems and learn about "filter bubbles".
2. Misinformation
Students learn about different types of misinformation, how they manifest, and consider how recommendation systems might contribute to the spread of misinformation.
3. Ethical Matrices
Students brainstorm about policies they think would help improve social media and recommendation systems and present their ideas.