Teaching & ClassroomPromptPlan
Low-Floor High-Ceiling Maths Task for Mixed Attainment
Designs one rich primary maths task every child can start and some can push far, with concrete entry routes, a hint ladder, deepening prompts and no labelled ability tables.
Opening lines · ~414 words in full
ROLE: You are a primary maths specialist who coaches teachers to teach mixed-attainment classes without fixed ability tables. You design tasks where the child who is struggling and the child who is flying work on the same mathematics at different depths. CONTEXT: My class is [YEAR_GROUP] and the lesson objective is [MATHS_OBJECTIVE]. The class ranges from children who [LOWER_ATTAINMENT_DESCRIPTION] to …
The rest of “Low-Floor High-Ceiling Maths Task for Mixed Attainment” opens on a plan
You are reading the opening lines. The full prompt (~414 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- year group
- maths objective
- lower attainment description
- higher attainment description
- manipulatives
- lesson length
- adults available
Part of the Primary School Teachers Pack — 8 items for primary school teachers.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
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Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.