Helping AI Learn

In this worksheet, students act as AI trainers to help artificial intelligence learn from its mistakes. They analyze example scenarios where AI makes errors, such as translation or image recognition, and provide corrective feedback to improve accuracy. The guided example models how to identify why a machine made an error and how targeted feedback can help retrain it. Students practice identifying confusion between similar words or objects and suggesting precise corrections. This activity develops both problem-solving and digital literacy skills by connecting AI learning with human learning processes.

Curriculum Matched Skills

Science and Technology – AI Error Analysis and Improvement

English Language Arts – Analytical Reading and Explanation Writing

Critical Thinking – Identifying Problems and Solutions

Digital Literacy – Understanding AI Behavior and Feedback

This worksheet is part of our AI Feedback Loop collection.