Skip to content
PlayOwl

Computers & Digital Literacy · Grade 9

AI Literacy and Checking Generated Claims

Learners look inside generative AI far enough to see why fluent output can be false: models predict likely next tokens (or pixels) from patterns, and sampling makes answers vary. They then practise a verification workflow that splits output into checkable claims and records each result, spot fabricated citations, write clear and private requests with honest disclosure, and learn why synthetic-media detectors cannot settle authenticity on their own.

  • 4 lessons
  • About 115 minutes
  • Check what you learned: 10 questions
  • Ways to answer: choose an answer, trace code, highlight a text, match pairs, type a number and put in order
See plans Included with Family, Teacher and School plans. Open in PlayOwl

What learners will discover

  • Explain how generative models produce text by predicting likely next tokens (and images by generating pixels that fit patterns), and why fluent output can be wrong or vary between runs.
  • Recognize hallucinated facts and fabricated citations, and verify generated text by splitting it into claims, checking each against reliable sources and recording the result.
  • Write clear, checkable requests, keep personal data out of AI tools, and disclose AI use according to academic-integrity rules.
  • Explain the limits of synthetic-media detection and use provenance, lateral reading and corroboration to judge generated or manipulated media.

Lessons

  1. How generative models produce output 7 steps4 practiceabout 26 min
  2. Hallucinations and a verification workflow 6 steps4 practiceabout 28 min
  3. Clear requests, privacy and honest use 6 steps4 practiceabout 25 min
  4. Synthetic media and the limits of detection 7 steps4 practiceabout 24 min
  5. Check what you learned 10 questions at the end

Keep exploring

More 9th grade computer skills

Guide for grown-ups