ThinkWithPrompt by SynotticThinkWithPrompt

Write substitute teacher plans that run without me

Clear, complete sub plans with schedule, lesson steps, routines, student support notes, and backup activities.

Learning & TeachingFew-ShotStandardEducationWritePlanFill-in Template

The prompt

Write substitute plans for a day I'll be out. Date(s) and reason type: [planned / emergency set] Grade and subject(s): [DETAILS] Daily schedule: [PERIODS OR BLOCKS WITH TIMES, INCLUDING DUTIES] What students should work on: [TOPIC, ASSIGNMENT, MATERIALS LOCATION] Key routines: [attendance, entry, bathroom, technology, dismissal] Students needing support: [describe accommodations or health needs by role, e.g. "two students have extended time", "one student has an allergy action plan in the nurse's office" - no names in the plan itself] Helpful staff: [neighbor teacher, office extension, para] Write the plans with: 1. A one-page "Start here" with the schedule, who to ask for help, and where things are. 2. For each period: a timed lesson plan a non-specialist can run, with exact student instructions to read aloud. 3. Routines and behavior expectations, plus what to do if something goes wrong. 4. Early-finisher work and one backup activity if technology fails. 5. A short form for the sub to leave notes on attendance, behavior, and what got done. Rules: - Assume the sub doesn't know the content. Avoid tasks that require teaching new material. - Do not include confidential details; tell the sub where to find the confidential folder. - Mark anything I didn't give you as [ADD], e.g. room numbers or extensions.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • planned / emergency set
  • DETAILS
  • PERIODS OR BLOCKS WITH TIMES, INCLUDING DUTIES
  • TOPIC, ASSIGNMENT, MATERIALS LOCATION
  • attendance, entry, bathroom, technology, dismissal
  • neighbor teacher, office extension, para
  • ADD

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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