Metadata
Interdisciplinary / Other Grade 9-12 Understand Medium-
Subject
Interdisciplinary / Other
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Education level
Grade 9-12
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Cognitive goals
Understand
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Difficulty estimate
Medium
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Tags
algorithms, recommendation systems, filter bubbles, misinformation, media literacy, ethics
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Number of questions
5
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Created on
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Generation source
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License
CC0 Public domain
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Prompt
Assess students' understanding of how online recommendation algorithms (e.g., collaborative filtering, content-based, engagement-ranking) shape information exposure and influence public opinion, covering mechanisms (filter bubbles, echo chambers, amplification, bias), measurable effects, real-world examples, and mitigation/ethical responses.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.