Data vs Prediction

This worksheet is designed for students in Grades 4-6 to build reading comprehension, comparison skills, and critical thinking while exploring how artificial intelligence differs from simple data processing. Through short, clear scenarios, students analyze whether a system is following fixed rules or making predictions based on patterns, helping them understand how AI systems “learn” rather than merely compute.

Learning Goals

• AI Learning vs. Programming (Grades 4-6) – Distinguish between rule-based data processing and AI prediction.
• Reading for Purpose & Comparison – Analyze scenario descriptions to determine key differences in function.
• Classification & Reasoning – Sort examples accurately using logical thinking and evidence from the text.
• Foundational Computer Science Concepts – Recognize how data analysis and prediction are used in AI systems.

Instructional Benefits

• Teacher-Created Resource – Designed by educators to support upper-elementary technology and ELA standards.
• Scenario-Based Learning – Realistic examples make abstract concepts clear and accessible.
• Supports Critical Thinking – Encourages students to justify decisions and explain reasoning.
• Flexible Use – Ideal for STEM integration, literacy instruction, independent practice, or discussion-based lessons.

This printable worksheet helps students develop a clear understanding of how artificial intelligence differs from traditional computing. By comparing data processing and AI prediction, learners strengthen comprehension, reasoning, and decision-making skills while building essential digital literacy. Suitable for classroom or homeschool use, this no-prep activity introduces foundational AI concepts in an engaging, age-appropriate way that supports thoughtful analysis and meaningful discussion.

This worksheet is part of our History of AI collection.