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AI for Teachers
Differentiation Through Prompt Engineering
Curriculum
4 Sections
16 Lessons
16 Hours
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Support ≠ Simplify (Same Target, Different Scaffolds)
4
1.1
Differentiation Through Prompt Engineering: Scaffolding vs. Dilution
1.2
Lock the Target, Vary the Scaffolds
1.3
One Close-Reading Target, Three Scaffold Levels
1.4
Generate 3 scaffold tiers for your upcoming task
Reading Supports: Leveling, Chunking, Vocabulary
4
2.1
Readability prompts: adjust grade band while preserving key ideas + structure
2.2
Chunking prompts: stop-and-jot, guided questions, annotations
2.3
Vocabulary laddering: Tier 2/3, morphology, quick checks
2.4
Interdisciplinary transfer: science phenomena reading + primary source context
Writing Supports that Fade (Gradual Release)
4
3.1
Scaffold menu: planners, paragraph frames, transitions, cohesion prompts
3.2
Modeling without ghostwriting: exemplars, mentor paragraphs, gap-fills that fade
3.3
Feedback-by-need prompts: thesis, evidence, reasoning, organization, conventions
3.4
Mini-lab: three versions of same writing task
Profiles → Support Packs (UDL + Implementation)
4
4.1
Profile-based prompting: MLL, reading gaps, exec function, advanced learners
4.2
UDL prompting: multiple means of engagement/representation/action; choice pathways.
4.3
ISTE connection: Educator Designer; Student Empowered Learner
4.4
Exit deliverable: Differentiation Prompt Kit (reading + writing + support menu)
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