Resources

This Challenge is designed to help youth aged 13-22 understand the environmental and efficiency trade-offs between conventional and regenerative agriculture.

Learners will write their own rap and will animate their rap using their knowledge of ScratchJr coding.

Learners will use their understanding of numeracy (including odd/even, place value, skip counting and greater than or equal to) to create a ScratchJr game.

Learners will create a ScratchJr program that animates their own math word problem.

In this lesson, students investigate the “agreeableness bias” inherent in Large Language Models (AI) through an interactive simulation and the analysis of real-world scenarios.

In this lesson, students investigate the “agreeableness bias” inherent in Large Language Models (AI).

This lesson integrates Scratch coding with artistic expression to help students physically see and experiment with custom block procedures and spatial stamping patterns.

A friendly starting point covering the big ideas behind AI, from algorithms and bias to generative tools and data literacy.

A conversation guide for parents and trusted adults who want honest, low-pressure talks with teens about algorithms, AI bias, and how to think critically online.

A classroom guide on why AI is designed to agree with you, and why that becomes a real problem when young people turn to it for personal advice.

A classroom guide on how generative AI works, why it gets things wrong with confidence, and what students risk when they let it do their thinking.

A classroom guide exploring how AI shapes your feed, why emotional content spreads, and how to take back control of your attention.

Every time you scroll, like, or pause, AI is learning. This resource hub explains what AI knows, how it works, and how to use it responsibly.

In the Social Innovation Lab, youth explore how technology and creativity can address real-world challenges through a hands-on, team-based experience.

Learners explore how machine learning algorithms work and their uses in day-to-day life through hands-on unplugged activities that simulate supervised and reinforcement learning.

In this lesson, you will be introduced to the micro:bit’s sensors so that you can code, test and modify a data-gathering tool.

Students will learn what cybersecurity is, why it matters, and how to protect themselves in the digital world by exploring concepts related to Passwords and Social Engineering.

This lesson introduces students to creating geometric mandalas by designing unique symbols and using block-based coding in Scratch, applying mathematical concepts like symmetry and repetition while fostering mindfulness, creativity, and self-expression.

Students create a persuasive website using Google Sites to propose fair and practical AI usage rules for their school, researching stakeholder perspectives and collaboratively developing a 10-rule AI policy.

Students create a digital animation in Scratch that narrates their family’s immigration story, exploring concepts of migration, emigration, and immigration while applying coding principles like Algorithms, Sequence, and Events.

Students create a Bear Chase game in Scratch where two bears compete to catch salmon, learning events, sequences, loops, conditional statements, and variables.

Students participate in a ScratchJr Dance-off Competition to learn the basics of algorithms and sequence by organizing physical movements into step-by-step instructions.

In this lesson, you will be introduced to micro:bit, a pocket-sized computer. Teachers will learn about micro:bits physical features, the Makecode coding platform, and how to code basic scripts to create an animation. This lesson brings hands-on STEM learning into the classroom in a fun and easy way.