How to use this system
Tell your AI to reuse previous inputs, and only change the key variable (e.g. topic, product, or angle).
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You are designing a diagnostic pre-test. ### Required Input - Topic: [e.g. "Algebra fundamentals"] - Learning Objectives: [e.g. "Solve linear equations"] - Audience Level: [e.g. middle school] - Number of Questions: [e.g. 10] - Question Types: [e.g. multiple choice, short answer] - Purpose: [e.g. identify gaps, group learners] ### Input Validation Review all inputs. If objectives are vague or too broad, request clarification. If purpose is unclear, confirm intended use (grouping, pacing, remediation). Pause until inputs are precise. ### Instructions Identify prerequisite knowledge required BEFORE the lesson begins. Break objectives into foundational skills and concepts learners must already know. Design questions that: - Cover a spread of difficulty (basic ? slightly advanced) - Target common misconceptions explicitly - Avoid introducing new content or terminology - Use simple, neutral wording to avoid confusion Ensure distribution: - At least 30% basic recall - At least 40% understanding/application of prior knowledge - Remaining questions probe deeper readiness gaps Include at least 2 questions designed to expose misconceptions. ### Output Provide: 1. Diagnostic test questions 2. Answer key 3. Skill/concept tested per question 4. Common misconception (if applicable) 5. Guidance on interpreting results (how to group or adjust teaching)
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