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AI for Teachers
Foundations of Prompt Design for Teachers
Curriculum
4 Sections
15 Lessons
8 Hours
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Promptcraft Foundations: From Vague to Classroom-Ready
4
1.1
Warm-up: Diagnose common weak prompts
1.2
The Core Prompt Model
1.3
Demo: Upgrade a generic reading prompt into a text-dependent close reading task
1.4
Practice Sprint: Rewrite 3 of your own prompts using the model; peer tune one
Reading Prompt Patterns
4
2.1
Text-dependent questioning prompts that require quoting/paraphrasing specific evidence
2.2
Interdisciplinary transfer: apply to a science article + social studies primary source
2.3
Differentiation mini-lab: generate 3 scaffold levels for the same prompt
2.4
Artifact: Save reusable reading prompt templates
Writing Task Prompts: Purpose, Structure, and Criteria
4
3.1
Prompt for narrative/argument/informational writing with explicit success criteria
3.2
Guardrails: AI supports planning/outlining/revision—avoid student ghostwriting
3.3
Rubric-forward outputs: prompts that produce work you can actually score
3.4
Technical explanation prompt with accuracy checklist
Reliability & Classroom Workflow
3
4.1
Beyond vague requests – moving into precision prompt engineering
4.2
Prompt for Purpose, Structure, and Rubric Alignment
4.3
From Prompt to Pedagogy
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