Fact vs. Myth Sorting

This worksheet is designed for Grades 6, 7, and 8 to help students critically evaluate statements about artificial intelligence models by distinguishing facts, myths, and conditional (“it depends”) claims. Through careful reading, categorization, and short written justification, learners strengthen comprehension, reasoning, and digital literacy while developing a realistic understanding of AI capabilities and limitations.

Learning Goals

• Evaluating Claims & Reasoning (Grades 6-8)
  Students analyze statements about AI models and determine whether each is accurate, false, or context-dependent.
• Distinguishing Fact, Myth, & Misconception
  Learners identify exaggerations, oversimplifications, and common misunderstandings about AI.
• Understanding AI Capabilities & Limits
  Activities reinforce differences between small and big models and why outcomes often depend on context and use case.
• Justified Explanation
  Students explain their classifications in one to two sentences using clear, evidence-based reasoning.

Instructional Benefits

• Teacher-Created Resource
  Designed by educators to promote accurate, balanced understanding of AI technology.
• Strong Media Literacy Focus
  Helps students question claims they may encounter online or in the news.
• Short, Manageable Writing Practice
  Justification prompts support concise, focused explanation skills.
• Flexible Classroom Use
  Works well for ELA, technology education, digital literacy, or critical thinking lessons.

This printable worksheet helps students build strong skills in claim evaluation, argumentation, and responsible technology understanding. By sorting facts from myths and recognizing when answers depend on context, learners become more thoughtful consumers of information and more informed users of AI tools. It’s a practical, no-prep resource that works smoothly in both classroom and homeschool settings while supporting critical reading and digital literacy.

This worksheet is part of our Small AI Models vs. Big AI Models Worksheets collection.