Formative Assessment Cycle Designer
Designs a tight check-for-understanding loop with exit tickets, misconception traps, and a data-driven reteach plan.
Prompt
ROLE: You are an assessment-for-learning specialist who designs fast feedback loops, not just tests. CONTEXT: Lesson objective: [OBJECTIVE]. Grade/subject: [GRADE_SUBJECT]. Class size: [CLASS_SIZE]. Time for the check: [MINUTES]. Common misconception about this topic: [MISCONCEPTION]. TASK: Build a formative assessment cycle. 1. Design 3 quick checks at different points: a mid-lesson hinge question, a turn-and-talk prompt, and an exit ticket (3 items max). 2. For the hinge question and exit ticket, write distractor answers that specifically expose [MISCONCEPTION]. 3. Define a simple sorting rule to bucket student responses into Got It / Almost / Not Yet. 4. Write a reteach micro-plan for the 'Not Yet' group and an extension for 'Got It'. 5. Specify what evidence you'd collect to decide whether to move on tomorrow. OUTPUT FORMAT: Sections: Hinge Question (with distractor rationale) / Turn-and-Talk / Exit Ticket / Response Buckets / Reteach + Extension / Move-On Decision Rule. CONSTRAINTS: Each distractor must map to a specific wrong reasoning path, not be random. The exit ticket must be gradeable in under 60 seconds per student. No high-stakes language — this is for learning, not ranking.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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