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Developing AI Literacy Curriculum for Middle School Students

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Listen and learn : Snapshot

Snapshots are a pairing of two 20 minute presentations followed by a 5 minute Q & A.
This is presentation 1 of 2, scroll down to see more details.

Other presentations in this group:

Safinah Ali  
Cynthia Breazeal  
Yihong Cheng  
Daniella DiPaola  
Irene Lee  
Helen Zhang  

Learn about the DAILy curriculum, an AI literacy curriculum for middle school students. The curriculum consists of several interactive activities and games that enable young students to learn about basic AI concepts, applications of AI, ethical considerations of developing AI technologies and careers related to AI.

Audience: Teachers, Teacher education/higher ed faculty, Curriculum/district specialists
Skill level: Beginner
Attendee devices: Devices useful
Attendee device specification: Laptop: Chromebook, Mac, PC
Participant accounts, software and other materials: Chrome Browser
(Safari also works, but Chrome is recommended)
Topic: Artificial Intelligence
Grade level: 6-8
Subject area: Career and technical education, STEM/STEAM
ISTE Standards: For Educators:
  • Model for colleagues the identification, exploration, evaluation, curation and adoption of new digital resources and tools for learning.
  • Set professional learning goals to explore and apply pedagogical approaches made possible by technology and reflect on their effectiveness.
For Education Leaders:
Visionary Planner
  • Share lessons learned, best practices, challenges and the impact of learning with technology with other education leaders who want to learn from this work.

Proposal summary

Purpose & objective

Everyone will be impacted by AI in daily life and in the workplaces of the future. It is critical for all students to have fundamental knowledge of AI and to understand AI's potential for good and harm. The Daily-AI program will jumpstart your readiness for AI and give you the tools you need to prepare for the AI-enabled world.

The Daily-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. Students will experience training and using machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you.

In this Snapshot presentation, we aim to bring to educators and learning researchers a novel middle-school AI literacy resource. The curriculum has been deployed with 119 youth across 5 online remote learning youth programs. These programs work with youth from under-represented minority (URM) groups. The curriculum was successful and we will present the learning gains observed in students. We discuss students' cognitive learning gains, shifts in attitudes about AI and how they relate AI to their daily lives. We will also discuss observations during field tests that helped us improve the learning resources. Finally, we will equip educators with the learning resources we designed.


In this presentation we will go through the content of the curriculum, outlining each section with the learning goal. We will have the audience participate in one of the interactive activities, and end with a discussion on ethical implications of AI. This will be detailed outline of our presentation:
1. Introduction and purpose of the DAILy curriculum (speaker presentation): 5 minutes
2. Introduction to AI (speaker presentation with audience input): 5 minutes
3. Curriculum outline (speaker presentation): 5 minutes
4. Interaction activity to demonstrate Decision Trees/Neural Networks (interactivity activity with the audience): 5 minutes
5. Discussion on bias in AI (interactive discussion with the audience): 5 minutes
6. Conclusion & sharing resources: 5 minutes

Supporting research

Related articles:
A year in AI k-12:
AI Education resources:
Constructionism, Ethics, and Creativity: Developing Primary and Middle School
Artificial Intelligence Education:

More [+]


Cynthia Breazeal, Massachusetts Institute of Technology
Yihong Cheng, Boston College
Daniella DiPaola, MIT Media Lab
Irene Lee, MIT
Helen Zhang, Boston College

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