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5th-7th grade

AI Creators

In this 25-hour online program, students build AI apps using block-based programming tools like Scratch and Thunkable and machine learning tools like Google’s Teachable Machine. As students learn about the concepts and ethical challenges behind AI and the basics of programming, they train and deploy machine learning models for self-driving cars, chatbots, classification problems, and more!

Outcomes

Program Highlights

Mentorship + Brainstorming Jobs of the Future

Innovative & Hands-on Projects

Discussion of AI Ethics + Social Good

Cutting-edge AI Curriculum

Ever wonder how self-driving cars work? Or if chatbots will be able to hold human-like conversations? Why does facial recognition incorrectly identify people of color and how can we stop it? How can AI be leveraged to tackle some of today’s biggest issues including climate change and social justice? What if we told you that you could learn the answers to these questions and more–all without having programming experience?

Real world

Projects & Activities

Students understand the different technologies that go into self-driving cars (e.g. LIDAR, computer vision), and discuss design methods for improving accessibility.

Real world

Projects & Activities

Students learn how chatbots and voice assistants like Siri and Alexa are built, and then deploy their own version!

Real world

Projects & Activities

Students think about the ways AI can be applied to environmental sustainability, and build their own recycling sorter app.

Real world

Projects & Activities

Students have critical discussions about biases in the workplace, and what careers of the future might look like.

Students

Who is it for?

Middle-School Students Grades 5-7

No prior programming or computer science background required! We particularly encourage girls and students from underrepresented backgrounds to participate.

Middle school students with significant interest in learning written programming languages (e.g. Python, JavaScript), are a better fit for the AI Pioneers course.

“It’s crazy to me that we’re able to have students as young as middle schoolers exploring and using machine learning.

What’s even more amazing is the students’ ability to fully immerse themselves in AI. They’re constantly hungry for more.”

– Kayla Holman, Instructor & Curriculum Director, MIT Alum

Each session will be divided into several modules, such as:

Interactive lessons, activities, and demonstrations introducing new technical concepts such as chatbots and self driving cars.

Guided coding explorations in which students apply AI to real-world problems in Scratch.

Discussions on the social impact of AI to develop students’ critical thinking skills.

Design challenges in which students create plans for ethical technologies.

Project work as students complete a multi-week AI for Social Good project.

Team

Instructors

Education

MIT, Master’s in Computer Science (AI)
MIT, Bachelor's in Computer Science and Math
MIT, Teaching License

Research

Studying economic disparities in online education, diagnosing dementia with machine learning, creating AI-generated images, and improving recommendation engines.

Teaching

Daniela created and taught an Artificial Intelligence and Society course at an international school in Rome. She’s taught math + computer science to students from kindergarten through college around the world. 

DANIELA GANELIN

Director of Curriculum MS, MIT

Education

MIT, Bachelor’s in Mathematical Economics,
Minor in Public Policy

Teaching

Greta as experience student-teaching in a variety of schools: urban, rural, suburban, as well as public, charter, private, and boarding. Before joining Inspirit as a curriculum developer, she taught middle and high school math from pre-algebra to pre-calculus and developed mastery-based curricula at the Khan Lab School.

GRETA FARRELL

Curriculum Developer, Instructor BS, MIT

Education

MIT, Master’s in Computer Science
MIT, Bachelor’s in Computer Science and Electrical Engineering,
Minor in Mechanical Engineering

Research

Kayla’s expertise lies in Robotics—she previously worked on autonomous driving at Cruise and robotics software at Vecna Robotics. She also researched methods for factory line operators to effectively work alongside robots.

Teaching

Kayla’s expertise lies in Robotics—she previously worked on autonomous driving at Cruise and robotics software at Vecna Robotics. She also researched methods for factory line operators to effectively work alongside robots.

Kayla Holman

Curriculum Developer, Instructor

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