teacher-chemistry-unit-review

What problem does it solve?

Helps chemistry teachers turn a unit review into a structured knowledge framework driven by evidence from mistakes, including active recall, targeted讲评, and follow-up practice instead of reteaching the unit.

Core Features & Use Cases

• Active recall first: Uses question-based warmups (e.g., 5–8 prompts) to check retrieval and readiness.
• Mistake clustering & evidence-based flow: Groups typical error causes and orders explanations/solutions based on the observed evidence.
• Practice variants + spaced re-check: Produces variant exercises and schedules a next assessment with measurable indicators.
• Use case examples: unit recovery before mid/final exams, mistake-heavy centralized review, and differentiated class review.

Quick Start

Tell the AI: “Help me plan a chemistry unit review lesson where I want active recall first, then group mistakes and design讲评 order plus variant practice and a next re-test plan.”