Predicting AI Improvement

This worksheet guides students to make predictions about how an AI will improve after receiving feedback. Through structured scenarios, they write what they think the AI will say or do next and explain their reasoning. Students analyze examples involving photo recognition, self-driving cars, and voice assistants to apply understanding of feedback-driven learning. The reflection activity builds inferential reasoning and connects technological problem-solving to human learning strategies.

Curriculum Matched Skills

Science and Technology – Predictive Thinking in AI Learning

English Language Arts – Writing Explanations and Justifications

Critical Thinking – Making and Supporting Predictions

Digital Literacy – Understanding Feedback and Adaptation

This worksheet is part of our AI Feedback Loop collection.