teacher-math-unit-review

What problem does it solve?

It helps math teachers turn a unit review into a structured learning loop that goes beyond re-teaching, by connecting knowledge structure, common error causes, active recall, and targeted re-practice.

Core Features & Use Cases

• Knowledge structure + error-cause driven sequencing: organizes review order based on evidence from recent mistakes, then maps them to concepts, methods, and question types.
• Active recall warm-up: generates questions to activate prior knowledge before explanation-heavy steps.
• Typical explanation + variant practice: designs review flow and re-practice tasks (including variants) so students can transfer learning to new problems.
• Progressive re-testing plan: schedules the next spaced review and defines measurable re-test indicators.

Quick Start

Ask the AI to run “teacher-math-unit-review” for your upcoming unit review by providing grade, textbook/unit scope, recent mistake patterns, and the remaining class time.