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ComputingArtificial IntelligenceAges 6–12

Recommendation Systems and Filter Bubbles

How recommendation systems work: YouTube, Netflix, and shop websites track what you click and find patterns; filter bubbles; the difference between helpful suggestions and manipulation

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Recommendation Systems and Filter Bubbles means practising the idea at the table with a simple screen-free or sandbox check. We will demo once, then your child tries.

Materials: Two short recommendation cards or screenshot printouts; Pencil for compare notes. 1. Say the goal of Recommendation Systems and Filter Bubbles in plain words once. 2. Adult shows one AI suggestion and asks what data might have caused it. 3. Child reviews three AI examples and names one input clue and one possible bias or limit each. 4. Fresh check: one fresh AI example with a limit. Record and stop. Done: three AI examples with an input clue and a limit note. Proof: parent note of examples and results. Stop: End after the fresh check; keep optional challenge for another day.

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Recommendation Systems and Filter Bubbles practice

Practice key ideas from Recommendation Systems and Filter Bubbles.

Free · no login · no ads · Practice answers and completion are not saved. Parent observation remains the lesson record.

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Common Sense Education · Practice link — not the full lesson

Digital Citizenship

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Before you open · source notes

Digital Citizenship supports Recommendation Systems and Filter Bubbles. An adult previews and guides; this is a learning page, not a scored quiz.

Free educational page, no sign-in required for the tested path.

Before you open

Ask the learner one fact they learned and one question they still have.

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Public Common Sense Education page. An anonymous GET on 2026-11-12 returned HTTP 200 with no login or payment prompt for this URL. Opening the link does not save practice or assess mastery. An adult should preview and guide the learner.

Common Sense Education. “Digital Citizenship.” External page; Gakuva does not copy, host, embed, or redistribute materials.

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Check understanding

  • Explain how YouTube or Netflix decides what to suggest next
  • Describe what a 'filter bubble' is (only seeing things similar to what you already like)
  • Give one benefit and one risk of recommendation systems
“Does your child understand why YouTube keeps suggesting similar videos to ones they've watched, and could they explain how the recommendation system works?”

Curriculum record

Type
Conceptual
Subject
Computing
Domain
Artificial Intelligence
Age range
Ages 6–12

Standards

acara-v9:AC9TDI2P07acara-v9:AC9TDI6P10