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Printables · Works without devices

Worksheets & screen-free activities

Grade-differentiated worksheets, illustrated workbooks with pronunciation guides, and printable activities designed for classrooms and libraries where devices and internet can't be taken for granted.

Download everything ↗ Evaluation toolkit
A mentor guides students assembling computer kits and circuit boards at the K–12 AI Education Showcase at Morgan State University
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Student materials

Built for every reader

Every unit includes multiple ways for students to show understanding — supporting different reading levels, learning styles, and levels of technology access.

Grade-differentiated worksheets

Tiered tasks for the same concept across grade bands — so a K–2 group and a Grade 5 class can work the same unit at the right depth.

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Illustrated workbooks

Student notebooks and unit booklets with pronunciation guides for AI vocabulary — algorithm, biometric, false positive — plus reading-comprehension passages.

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Screen-free activities

Hands-on, printable investigations, matching games, word searches, and design challenges that need nothing but paper, pencils, and curiosity.

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Activity spotlight

Panda Detective

Most-loved printable · 20 min · No devices

Students become biometric investigators: using rulers, they measure facial landmarks on printed panda sheets — simulating exactly how a facial-recognition algorithm collects and compares data. In our pilot, this phase consistently earned the highest engagement rating (4/4) in classroom observations.

Pairs with the illustrated story "Cece and the Case of the Misidentified Face," which introduces algorithm, database, pixel, and false positive in a narrative kids actually remember.

Get the printable pack ↗

For educators & evaluators

The evaluation toolkit

The exact instruments from our MCCE-funded pilot — reviewed for content validity by AI-education researchers and reusable for your own program evaluation or grant reporting.

  • AI-literacy pre/post assessments

    8–10 item instruments per grade band, piloted with a comparable cohort. In our pilot, overall AI comprehension rose from 38% to 85%.

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  • Six-domain classroom observation rubric

    A structured, 24-point rubric for observing AI lessons — engagement, participation, understanding, and more.

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  • Stakeholder surveys

    Teacher, librarian, and family survey instruments — the same ones that told us 80% found the model adaptable and 70% saw internet reliability as a barrier.

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  • Site technology audit

    The device-and-connectivity audit that reshaped our pilot — run it before you commit to any tech-dependent plan.

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No devices? No problem.

Every lesson can be delivered with printed materials and a single facilitator. That's not a fallback — it's the design. Our strongest finding: meaningful AI learning does not require advanced technology.

See how it works →