Noise in the Data

This worksheet helps students in Grades 5, 6, and 7 explore how misspellings, contradictions, ambiguity, and outdated information can affect reading comprehension and artificial intelligence interpretation. Through clear examples and multiple-choice analysis, learners practice critical thinking, text interpretation, and technology literacy while developing an age-appropriate understanding of how AI systems process and sometimes misinterpret information .

Learning Goals

• Data Quality Awareness (Grades 5-7)
  Students examine how unclear wording, errors, and conflicting details can change meaning and lead to misunderstandings.
• Reading Comprehension & Interpretation
  Learners analyze short scenarios, identify key details, and determine how meaning may shift due to “noise” in the text.
• Technology & AI Understanding
  Students build foundational knowledge of how AI systems rely on input data and why accuracy and clarity matter.
• Critical Thinking Skills
  Activities encourage recognizing ambiguity, contradictions, and unreliable information in real-world contexts.

Instructional Benefits

• Teacher-Created Resource
  Designed by educators to introduce AI concepts in a clear, student-friendly way.
• Flexible Use
  Works well for whole-class lessons, small groups, independent practice, or technology units.
• Low-Prep Design
  Simple format makes it easy to print and use with minimal preparation.
• Supports Diverse Learners
  Structured questions and concrete examples help scaffold abstract concepts.

This printable worksheet supports students as they build skills in reading comprehension, data evaluation, logical reasoning, and technology awareness. By learning how noise in information can affect understanding, students strengthen their ability to interpret text accurately and think critically about digital tools. It’s a practical, no-prep resource that works effectively in both classroom and homeschool settings while reinforcing essential literacy and technology skills.

This worksheet is part of our Why Do AI Models Make Mistakes collection.