How to Use AI for Differentiated Instruction

Introduction

AI can help teachers differentiate instruction-supporting students who need scaffolds, providing on-grade practice, and challenging advanced learners with extension tasks-without multiplying planning time. This guide gives you a concrete, repeatable routine you can use this week.

Core ideas

• Differentiate the task, not the target: keep the same standard but vary supports, examples, and cognitive demand.
• Use AI to draft, you to decide: let AI propose options; you choose and refine based on your students.
• Tight prompts, tight outputs: tell the model audience, length, reading level, vocabulary, and success criteria.
• Three lanes: Entry (below-grade scaffolds), Core (on-grade practice), Stretch (above-grade extension).

Micro case study

Case: Ms. Patel teaches 7th-grade science. Her class includes multilingual newcomers and two students ready for high-school biology content.

Challenge: One lab direction set and one worksheet never fit everyone; feedback took too long.

Solution: She used a three-lane prompt to generate Entry/Core/Stretch versions and kept the same success criteria.

Result: On a food-web assessment, the class median moved from 68% to 81% in three weeks; time spent on prep dropped 40%.

Template pack

Prompt: Create three versions of the task "Energy Flow Lab":
- Entry (below-grade): short sentences, sentence starters, visuals, 5th-grade reading level.
- Core (on-grade): concise steps, grade-level vocabulary, one "explain your reasoning" item.
- Stretch (above-grade): open-ended extension, quantitative reasoning, transfer question.
For each version, include:
1) one-sentence goal,
2) numbered student steps,
3) one formative check (question),
4) success criteria aligned to the same standard.

Prompt: Draft a 5-criteria rubric for the "Ecosystems Lab":
Criteria: data collection, analysis, collaboration, safety, communication.
Levels: beginning, developing, proficient, exemplary.
Use student-facing language and specific descriptors.

Prompt: Generate five short formative quiz items on food webs.
For each, include:
- the correct answer,
- 2 distractors that reveal common misconceptions (e.g., "energy cycles").

Prompt: Write a parent-friendly two-paragraph summary of the unit goals
and one five-minute discussion question families can use at home.

For your classroom

1. Pick one target: choose a single upcoming task (lab, reading, problem set) and define the success criteria.
2. Run the template: generate Entry/Core/Stretch drafts; keep tone, length, and reading level constraints.
3. Trim to fit: edit down to one page per lane; add your classroom examples and vocabulary.
4. Coach the move: teach students how to move from Entry â" ' Core â" ' Stretch using your rubric language.
5. Close the loop: give a 3-item exit ticket; use responses to place students for the next lesson.

Extended checklist

• State the same learning goal on all versions.
• Lower barriers first: decoding & directions before content.
• Pre-teach 3â€"5 key words with examples and non-examples.
• Provide one worked example on Entry and one partial example on Core.
• On Stretch, ask for transfer to a novel context or numbers.
• Use one rubric across versions; change evidence, not criteria.
• Keep formative checks short and visible (one box at the bottom).
• Collect quick data (hands, cards, or 3-item quiz) to regroup next time.

Resources

• Three-lane task prompt (Entry/Core/Stretch)
• Student-facing 4-level lab rubric
• Vocabulary mini-cards (pictures + definitions)
• Sentence starters for explanations and claims
• Food-web misconception bank (common errors + fixes)
• Parent summary template (plain-language)
• Exit-ticket bundle (3-item formats)

Final thought

Differentiation is a design choice, not three different lessons. With tight prompts and one shared rubric, AI helps you build just-right on-ramps and true stretch-while you stay focused on feedback and relationships.