How Wayground Uses AI to Help Teachers Differentiate Instruction

Wayground (formerly Quizizz) uses AI to help teachers differentiate instruction by generating and adapting standards-aligned resources, then pairing those resources with progress tracking so you can adjust content for different student levels. The site describes this as helping teachers "differentiate instruction with AI and track student progress." The exact AI tools and their menu locations are not detailed in the available page evidence, so treat the workflow below as a practical framework built on that stated purpose rather than a step-by-step product walkthrough.

What the site says the platform does

From the site's own description, Wayground positions itself around three connected ideas:

• Standards-aligned resources — content mapped to learning standards rather than generic question sets.
• AI-supported differentiation — using AI to help tailor instruction to different students.
• Progress tracking — monitoring how students perform so instruction can respond.

The page evidence available here is limited (the captured page shows only a JavaScript-disabled notice), so specific feature names, menus, and limits should be confirmed on the live site before you build a lesson plan around them.

How AI fits into differentiation

Differentiation means adjusting content, process, or product so students at different readiness levels can work toward the same standard. AI can support this in a few practical ways:

1. Generating tiered versions of the same standard

Instead of writing three separate worksheets, you can use AI-assisted generation to produce a scaffolded version (more support, simpler wording), an on-level version, and an extension version — all tied to the same standard. The key check is that all versions still assess the same skill.

2. Adapting reading level and vocabulary

For a mixed-ability class, AI can reword prompts or passages to a lower or higher reading level while keeping the underlying question intact. This is useful for English learners and for students who decode slowly but understand the concept.

3. Producing varied practice sets

AI can generate additional practice items on the same standard, so students who need repetition get more attempts and students who master quickly move to harder items rather than waiting.

Pairing AI content with progress tracking

The differentiation loop only works if you close it:

1. Assign a standards-aligned set to the whole class or to groups.
2. Review the progress data to see which students missed which items.
3. Regroup — pull students who missed a specific skill into a reteach set, and give others an extension set.
4. Reassign AI-adapted versions targeted at the gap you identified.

The value of AI here is speed: generating the reteach and extension sets takes minutes instead of an evening, so the data actually gets used.

What to verify before relying on it

Because the available page evidence does not list specific AI features, check these on the live site:

A realistic example

A teacher covering one standard has students reading at three levels. Using AI-assisted generation, they create a scaffolded set with sentence starters, an on-level set, and an extension set with multi-step problems — all aligned to the same standard. After the class completes the sets, the progress view shows a cluster of students missing the same sub-skill. The teacher generates a short reteach set for that group and an enrichment set for the rest, then reassigns. The differentiation happens in the regrouping step; AI just makes the materials fast enough to keep up with it.

Bottom line

Wayground's stated approach is to combine AI-generated, standards-aligned resources with progress tracking so teachers can adapt content to student levels and respond to data quickly. Confirm the specific AI features and plan details on the site before committing, since the available page evidence does not enumerate them.