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Data-Driven Small Groups Made Easy (with a Little Help from AI)

11/9/2025

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Written by: Marcia Kish with blendedlearningpd.com and aiintheclassroom.com 

Why Small Groups Make Differentiation Easier

It’s possible to differentiate instruction in a whole-group setting — but let’s be honest, it’s much easier (and far more effective) in small groups. Small-group instruction allows teachers to target specific skills, adjust the rigor, and provide just-in-time feedback without losing the attention of the entire class.
One of the simplest ways to differentiate small-group learning is by changing one word — the verb. The verbs we choose in our learning objectives or questions drive the level of thinking. When you intentionally adjust those verbs, you can quickly personalize instruction for every group without having to rewrite your entire lesson plan.
In this post, we’ll walk through six quick strategies for designing differentiated, data-driven small groups — with a little help from AI.

​Six Steps to Quickly Design Differentiated Small Groups

1️⃣ Start by Writing the Standard

Begin by clearly identifying the standard or skill that will guide your small-group instruction. Write it out, highlight the key concept, and decide what mastery looks like.
When you know your target, you can align each small-group activity back to that specific learning goal — ensuring that differentiation doesn’t mean “different work,” but rather different pathways to the same goal.
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2️⃣ Deploy a Formative Assessment Point the Day Before

Use a quick exit ticket, digital quiz, or even an observation checklist to gather formative data. This small data point becomes your roadmap.
Formative assessments allow you to see where students are before diving into small-group instruction — giving you a clear picture of who needs reteaching, who’s ready for practice, and who’s ready for extension.
💡 Pro Tip: Keep it simple! The best formative assessments take no more than 5 minutes to administer or review.
5 Formative Assessment Ideas

3️⃣ List Out Students in Four Different Groups Based on the Data

Now that you have your data, organize your students into at least four small groups. Consider:
  • Group 1: Needs reteach or intervention
  • Group 2: Close to mastery — needs guided practice
  • Group 3: On-level — ready for application
  • Group 4: Above-level — ready for challenge or creation

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Important: These groups aren’t static. As new data rolls in, students move fluidly between groups — that’s what makes data-driven small groups truly responsive.

4️⃣ Use Bloom’s Verbs to Change the Outcome

Here’s where differentiation gets simple and powerful: change the verb.
Instead of reinventing the wheel, modify the cognitive demand using Bloom’s Taxonomy:
  • Reteach Group: Identify, Describe, Explain
  • On-Level Group: Compare, Apply, Classify
  • Extension Group: Create, Evaluate, Design
This small shift ensures each group’s task matches their readiness level while staying anchored to the same learning goal.
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Grab a Copy of Bloom's Verbs

5️⃣ Use AI or Your Current Lesson to Differentiate

AI tools like ChatGPT, Gemini, Diffit.me, or Eduaide.ai can save hours of planning time.
Try prompts like:
“Create three versions of a small-group lesson on [topic/standard], one for reteaching, one for practice, onlevel and one for extension. Include 10-minute activities and Bloom’s-aligned verbs.”

You can also take your current lesson plan and simply adjust it using AI — changing the verbs, complexity, or examples for each group.
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💻 Bonus Tip: AI can also help you create quick group handouts, anchor charts, or discussion prompts tailored to each group’s level.

More AI Prompts: 

Prompt 1: Using MAP RIT Scores to Differentiate Small Groups
Copy the Prompt Below: 
​
I am teaching [insert skill or standard]. Use the following RIT score ranges to create four differentiated small-group lessons:
  • Group 1: Below 180 (intervention)
  • Group 2: 181–190 (approaching)
  • Group 3: 191–200 (on level)
  • Group 4: 201+ (extension)
For each group, use Bloom’s Taxonomy verbs to adjust the rigor (e.g., Group 1 = identify, Group 4 = design). Include:
  • A 10-minute small-group mini lesson
  • One discussion question
  • One short practice task
  • The Bloom’s verb focus for each group
💡 Example Add-On: “Provide all four lesson ideas in a table format so I can easily copy them into my small-group planning template.”
Prompt 2: Using i-Ready Data to Build Differentiated Groups
Copy the prompt below: 
​
I have i-Ready data showing four instructional levels for my students in [subject]. Create four small-group lesson ideas aligned to the same standard, but differentiated by Bloom’s verbs to reflect readiness levels.
For each group, include:
  • The Bloom’s verb used (e.g., explain, analyze, evaluate, create)
  • A 10-minute mini-lesson idea
  • A follow-up activity or center task
  • A quick check-for-understanding aligned to the group’s Bloom’s level
💡 Optional Extension: “Add ideas for digital tools (like Kami, Quizizz, or Eduaide.ai) that could support each group’s lesson.”
Prompt 3: Designing Small Groups + Studios Around One Standard
Copy the Prompt below: 
​
I am designing a blended learning lesson using learning studios around the standard [insert standard or skill]. Use Bloom’s verbs and data-driven grouping to create a cohesive plan that includes:
  • Small-Group Lesson: Differentiated for four student levels using Bloom’s verbs (reteach → identify, on-level → apply, advanced → design)
  • Independent Studio: Individual task aligned to the standard and Bloom’s verb for on-level practice
  • Digital Studio: Online activity that reinforces the same concept with immediate feedback
  • Collaborative Studio: Hands-on or partner task that applies the learning to a real-world or creative challenge
Include timing recommendations (e.g., 12–15 minutes per studio) and suggestions for how the teacher can collect formative data from each group or station.
💡 Add-On for Personalization: “Explain how the learning studios and small groups together support the same standard but at different levels of rigor.”

6️⃣ Design the Timing and Teacher Talk Ratio

Time management makes or breaks small-group instruction. Decide how long each group will meet and how much you’ll talk versus how much students will do.
A simple formula:
  • 5–10 minutes of teacher instruction
  • 10–15 minutes of student collaboration or independent practice
This balance keeps students active and engaged while giving you space to collect ongoing data.
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Bringing It All Together

Differentiation doesn’t have to mean chaos. By using formative data, adjusting your verbs, and leveraging AI to plan smarter, you can transform your classroom into a dynamic, student-centered learning studio.
✨ Remember: small groups are where real learning happens — and with the right tools, you can make every minute count.

Next Steps

📘 Explore more strategies in The 12 Elements of Student Engagement & Ownership Field Guide and the AI in the Classroom Starter Kit.
📝 Grab the download and templates from this post: bit.ly/kishblog89
🎥 Watch the companion video: Data-Driven Small Groups Made Easy
👉 Don’t forget to subscribe to my YouTube channel for weekly tips on blended learning, AI, and classroom transformation.
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    Marcia Kish is a Blended Learning Specialist, Instructional Coach, and author of The 12 Elements of Student Engagement and Ownership Field Guide, dedicated to helping educators create dynamic, student-centered classrooms.

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