How Do Machines Learn? (with Coding)

In this short unit, students learn the difference between rule-based programming and reinforcement learning using Scratch block coding.

Ages 14-18

Generative AI with MIT App Inventor

In this hands-on unit, students learn how generative AI works by building their own mobile apps using MIT App Inventor.

Ages 14-18

How Are We Quantified By AI?

This unit introduces students to data activism and the power of data.

AI Literacy Readiness Assessment for School & District Leaders

How ready is your school or district for the age of AI?

Ages 8-10, 11-13, 14-18

How Do Machines Learn?

Depending on the grade/age level, students explore different types of machine learning, ranging from supervised, unsupervised, and reinforcement.

Ages 11-13, 14-18

Ecobits Explorers: Environmental Data Collection and Analysis using Micro:bits

Students collect and analyze real-world environmental data using micro:bits, connecting local patterns to global climate insights through hands-on research.

Ages 11-13, 14-18

Human Rights and Artificial Intelligence

Students explore how AI impacts fundamental human rights, privacy, safety, and equality through real-world cases and student-led action projects.

Ages 14-18

Telling Climate Stories with Data

There are many ways to tell a story. This module explores how we can tell a story using data with a focus on climate change.

Ages 8-10

Vocabulary Cards

A hands-on way to help students build AI literacy and vocabulary through short, student-friendly activities that connect definitions to real-world examples.