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Written by: Marcia Kish with blendedlearningpd.com and aiintheclassroom.com Why Small Groups Make Differentiation EasierIt’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 Groups1️⃣ Start by Writing the Standard
2️⃣ Deploy a Formative Assessment Point the Day BeforeUse 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. 3️⃣ List Out Students in Four Different Groups Based on the DataImportant: 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
5️⃣ Use AI or Your Current Lesson to DifferentiateAI 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. 💻 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:
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:
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:
💡 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
Bringing It All TogetherDifferentiation 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
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AuthorMarcia 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. Categories
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