AI Mini Case Studies

This worksheet introduces students to how artificial intelligence systems function across different real-world applications, including self-driving cars, streaming recommendations, and medical imaging. Through close reading, annotation, comparison, and reflection, learners practice identifying inputs, models, algorithms, and outputs while strengthening comprehension, evidence-based analysis, and technology literacy.

Skills Reinforced

• AI Component Identification – Recognize inputs, models/algorithms, and outputs within multiple AI scenarios.
• Annotation & Evidence Marking – Mark text evidence by underlining, circling, and highlighting key system components.
• Comparative Reasoning – Compare how different AI systems use data in similar and different ways.
• Real-World Understanding – Connect abstract AI concepts to familiar technologies and practical applications.

Instructional Benefits

• Teacher-Created Content – Designed by educators to make AI systems clear, structured, and approachable.
• Hands-On Learning – Active annotation tasks promote engagement and deeper understanding.
• Flexible Use – Suitable for classwork, stations, homework, or technology-focused units.
• Built-In Reflection – Comparison questions encourage higher-order thinking and synthesis.
• Accessible Design – Short case studies support a range of reading levels and learning styles.

This printable worksheet helps students build strong conceptual understanding of artificial intelligence by examining multiple systems side by side. By identifying inputs, models, algorithms, and outputs across varied examples, learners strengthen critical thinking, annotation skills, and technological awareness. Whether used in a classroom or homeschool setting, this resource provides a practical, no-prep way to explore how AI works in the real world while reinforcing reading comprehension and system-level analysis.

This worksheet is part of our Parts of an AI System collection.