One Chapter, Different Learning Levels: Preparing With AI for Your Class

Keep the learning goal shared

In a lesson on perimeter, some pupils may trace and count a boundary confidently while others are ready to compare two shapes with the same perimeter. Preparing for both can mean creating several versions of a task and checking that they still belong to the same lesson.

Let’s begin with one goal: pupils should distinguish the distance around a rectangle from the surface it covers. We can vary the support around that goal before changing the goal itself.

AI can help suggest a scaffold, a core task and an extension. The teacher decides which version to use, how pupils move between them and what evidence will show their understanding. These are flexible teaching choices, not permanent labels for children.

Change the support before multiplying the worksheets

The examples are choices to test, not a fixed sequence for every class. A short oral explanation may tell you more than asking every pupil to complete another sheet.

Give AI the constraint that matters

A vague instruction such as “make three difficulty levels” can produce unrelated questions. Instead, name the common outcome and describe what may change:

Keep the goal of distinguishing perimeter from area. Draft one core task, one version with labelled sides and a starting sentence, and one extension comparing equal-perimeter rectangles. Do not introduce new formulas. Give the expected reasoning for each version.

This brief lets AI help with the preparation while keeping the teacher’s intention clear. Read all versions side by side. Does the supported task still ask pupils to reason? Does the extension deepen the same idea? Are the answers and units correct?

If a scaffold gives away the answer, revise it. If the extension depends on content not yet taught, choose a different challenge. The teacher can make those changes directly or ask for a targeted revision in the workspace.

Use Teachers Lab to create a checked common core

Begin with Worksheet and choose the relevant book pages or topic. Set the class, subject, board and teaching language. Create the core material first, including the answer key where the tool offers it.

In the workspace, ask for a specific adaptation. Simplify can help with language, while a custom instruction can specify labelled dimensions, a word bank or a different response format. Save the version you intend to use and check its exported layout.

Keep track of which version is the common core and which is an adaptation. If you generate another resource separately, supply the relevant outcome and context again. The shared goal should remain visible in the brief and in the final task.

Choose support from responses, not assumptions

Suppose a pupil writes the correct formula but cannot point to the boundary. That suggests a different next step from a pupil who understands the situation but makes an addition slip. A single score may not show the distinction.

Ask a brief question, inspect a drawing or listen to a pupil explain the method. Use that evidence to decide whether another representation, a worked example or independent practice would help.

When asking AI for a follow-up, describe the learning pattern without sharing names or personal details: “Several pupils multiply side lengths when asked for fencing. Suggest two contrasting situations and a question that checks which quantity is needed.” Inspect the suggestions before choosing one.

Keep a manageable routine

Try one common task and one optional scaffold before preparing several complete packets. Record the support that helped, then reuse or adapt it when the same idea appears again.

A classroom worksheet does not have to look identical for every pupil to support a shared lesson. The collaboration is in making useful options: AI helps draft them, and you choose from them using what pupils actually show you.