AI Learning Modules: AI Prompting for Lesson Design

University of Arizona | College of Education |

Module three of a four-module program helping educators build foundational AI literacy, establish ethical guardrails, master prompt design, and navigate AI tools with confidence.

Created by Austin Ross, M.Ed., MA

Access U of A GenAI


Glossary of Key Terms

Before diving into AI prompting, it helps to have a shared vocabulary. The terms below span instructional design, assessment, and AI policy — all of which inform how we plan, prompt, and verify AI-generated lesson materials.

Instructional Design

  • Anticipatory Set — A short activity at the start of a lesson to capture attention and activate prior knowledge.
  • Scaffolding — Temporary supports that help students learn new concepts before gradually removing assistance.
  • Differentiation — Adjusting instruction, materials, or assessments to meet varied student needs and readiness levels.
  • Closure — A short end-of-lesson activity that summarizes learning and checks for understanding.

Assessment & Engagement

  • Engagement Strategies — Instructional approaches that actively involve students and increase participation.
  • Formative Assessment — Ongoing checks for understanding used during instruction to guide teaching decisions.
  • Summative Assessment — Evaluations at the end of a lesson or unit to measure student learning.

AI & Policy

  • Artificial Intelligence (AI) — Computer systems that perform tasks typically requiring human intelligence, such as generating text or analyzing patterns.
  • Prompt Frameworks — Structured approaches for writing prompts that help AI generate clearer, more accurate responses.
  • FERPA — The Family Educational Rights and Privacy Act, protecting the privacy of student education records.
  • COPPA — The Children's Online Privacy Protection Act, protecting personal information of children under 13 online.

Module Overview

This module focuses on practical prompting for instruction and task design, including prompt frameworks you can reuse for lesson planning, activity creation, differentiation, and assessment support. You will practice writing clearer prompts that specify purpose, audience, constraints, and success criteria — then refine outputs through iterative revision. By the end, you will have a set of ready-to-use prompt templates you can adapt across content areas, while keeping human judgment at the center.

What You Will Produce

  • A reusable prompt (Level 1, 2, or 3)
  • A draft lesson plan including: learning objectives, key vocabulary, direct instruction, engaging activity, closure, and an assessment of learning
  • One revised version — you will iterate at least once

Learning Goal & Success Criteria

I can use AI to draft and refine lesson or unit plans while staying aligned to my learners, my standards/outcomes, and my professional judgment.

  • Write a prompt that produces usable lesson output
  • Revise the prompt to improve quality
  • Verify and adapt the output to real learners and constraints
  • Walk away with a plan I could implement soon

Welcome to AI Prompting for Lesson Design


Norms, Guardrails & Lesson Plan Components

Before we begin prompting, it is important to establish what this module is — and is not — asking you to do. We are not outsourcing thinking. We are reclaiming time and improving planning workflows. Human-in-the-loop means: I verify, revise, and adapt everything. Privacy boundary: do not input student-identifiable information into AI tools. If you are unsure whether something is safe to input, treat it as unsafe.

Components of a Lesson Plan (HCAT)

When I prompt AI for a lesson plan, I ask it to produce a draft that includes the same components I would write myself:

  • Title · Date · Objectives · Materials · Standards
  • Differentiation · Anticipatory Set · Direct Instruction
  • Guided Practice · Independent Practice · Assessment
  • Closure · Strategies (Think-Pair-Share, I Do/We Do/You Do, Partner A/B, whiteboard Q&A, etc.)

Reminder: AI can draft this structure quickly, but I still verify alignment, pacing, and fit for my learners before I teach it.

Higher Education Seminar Components

Even in higher education, I still want:

  • Learning outcomes for the session
  • A realistic sequence/agenda
  • Something active learners do
  • A check for understanding
  • A clear closure or next step

In teacher preparation, monthly Saturday Seminars model lesson plan components and strategies so students can incorporate them into their own secondary classrooms. Scaffolding is incorporated into the prompt to support those for whom this is new.

PAUSE + DO (2–3 min)

Write down: one lesson/seminar you need to plan soon · one planning task you wish you could do faster · one concern about AI in teaching/learning (privacy, accuracy, equity, environment, etc.).

Constraints, Copyright & Research Snapshot

AI output improves when you give it context: grade/subject/course, time constraints, learner needs, materials/limitations, what students must produce, and how you want the plan structured. Constraints drive quality. Privacy concerns may arise depending on the materials shared. A federal judge has ruled that copyrighted books are fair use for AI training — but also ruled that AI companies should not be pirating the books they train on.

🟢 Green: Safe to Use

Your own lesson ideas, your own notes, standards/outcomes, short teacher-written summaries, and brief excerpts you are permitted to share.

🟡 Yellow: Use Caution

Copyrighted text excerpts may be okay in limited amounts — use institutional tools and approved workflows, and keep it minimal.

🔴 Red: Do Not Use

Do not upload or share pirated PDFs or full copyrighted books into AI tools or course platforms. Downloading pirated books to build a permanent library is not covered by fair use.

Research Snapshot

Prompt Refinement Improves Quality

Preservice teachers improved lesson quality by using multiple rounds of prompt refinement and adding specificity — instructional models, differentiation, and supports (Gold et al., 2025). Student teachers treated AI output as a draft, functioning as co-editors who adjusted and personalized materials using professional judgment.

Broader Workload Support

Preservice teachers used GenAI beyond lesson planning for professional communication and resource creation, reinforcing why prompt libraries can support workload broadly (Gold et al., 2025). AI tools were described as time-saving scaffolds that can support innovative activities, but teacher agency, pedagogical knowledge, and content alignment remain essential (Alreiahi & Alrwaihed, 2025).

K–12 Teacher Perspectives

K–12 teachers report using GenAI mainly for instructional design and administrative efficiency, while also naming concerns about accuracy, ethics, and overreliance — pointing to the need for professional development that connects tool use to pedagogy (Andersen & Yang, 2025).


Three Levels of Prompting

Effective prompting improves when you provide clear instructions, specify scope, assign a role/persona, and revise through iterations (Karakaya, 2025). The three levels below represent a progression from fast brainstorming to highly aligned, dataset-supported lesson drafts. A short video reviews why each level produces different results.

1

Level 1: Minimal

Fast brainstorm. More revision needed. Use when you want a quick starting point.

"Create a ___-minute lesson on ___ for ___ learners. Include objectives, a simple agenda, and a quick formative check."

2

Level 2: Structured

Most reliable lesson drafts. Includes all required lesson components. Specify role, grade, subject, unit, timing, standards, constraints, and ask for 3 clarifying questions before drafting.

3

Level 3: Dataset-Supported

Best alignment. Same template + an "Input Pack": standards/outcomes, unit overview, excerpts or required resources, grading criteria/rubric, time/material constraints, and learner context. Add: "Use only the information I provide. If you need more, ask clarifying questions before drafting."

Level 2 Prompt Template (Copy/Paste)

You are an expert [GRADE AND SUBJECT] teacher, proficient in creating engaging, well-developed, and effective lesson plans for your students. Your task is to create [NUMBER] lesson plan(s) for our unit on [UNIT TOPIC]. Each lesson should be [NUMBER] minutes and should [BUILD ON EACH OTHER / STAND ALONE]. The lesson(s) should focus on: [SPECIFIC UNIT TOPICS] and be engaging and appropriate for [GRADE LEVEL] students. The lesson(s) should be aligned to [STANDARDS].

For each lesson, include the following components in this exact order:
Title; Date; Objectives; Materials; Standards; Differentiation; Anticipatory Set; Direct Instruction; Guided Practice; Independent Practice; Assessment; Closure; Strategies I will use within the lesson

Additional constraints:
- Keep pacing realistic and include approximate timing for each section.
- Include at least [NUMBER] checks for understanding.
- If you need more information to create an accurate plan, ask me 3 clarifying questions before you draft the lesson.

Level 3: Data-Supported

Without Datasets

1

Fast + flexible

2

More drift

3

Stronger verification required

With Datasets / Inputs

1

More aligned to your real constraints

2

Less drift

3

Easier to verify and reuse

Prompt Library Resource

Prompt libraries help with starting structure, not final decisions. You should still verify and adapt; however, the prompts here are an excellent resource that strongly assist prompt design.

Four Prompt Examples by Level

The following four examples — Elementary, Middle School Math, High School ELA, and Graduate Teacher Education — each demonstrate the same prompt structure applied to a different context. Goal: You should be able to reuse the same structure for your own planning, even if your content area and context are completely different. Each example includes context, prompt focus, and a revision move.

Elementary — 3rd Grade ELA

Context: 60 minutes · theme + character actions · mixed readiness; language supports needed.
Prompt focus: objectives + vocab + direct instruction + engaging activity + closure + assessment.
Revision: minute-by-minute pacing + embedded checks + differentiation supports.
Aligned to CCSS.ELA-LITERACY.RL.3.2. Includes sentence frames and visual supports for emerging bilingual students. Materials: picture book, chart paper, student notebooks. Ask 3 clarifying questions before drafting.

Middle School — 7th Grade Math

Context: 50 minutes · proportional relationships + unit rate · misconception check + error analysis + exit ticket + whiteboard activity.
Revision: tighter pacing + teacher questions at key points + intervention for "stuck" students.
Aligned to CCSS.MATH.CONTENT.7.RP.A.1. Whiteboard check with 4–6 problems ramping from basic to application. Includes a misconception check: unit rate vs. total rate, with a "why this is wrong" correction moment.

High School — 10th Grade ELA

Context: 55 minutes · argument analysis + structured discussion + one-paragraph write.
Revision: pacing + two checks for understanding + writing organizer + sentence frames.
Aligned to CCSS.ELA-LITERACY.RI.9-10.8. Includes Think-Pair-Share or Partner A/B with clear directions, sentence frames, paragraph organizer, extension for advanced students, and scaffold for students with reading stamina challenges.

Graduate Teacher Education Seminar

Context: 75-minute seminar · AI-supported lesson planning + teacher workload sustainability · guardrails: privacy + verification.
Revision: clear practice application steps + accountability + structured peer feedback prompts.
Aligned to course outcomes: reflective practice, instructional planning, ethical professional decision-making. Includes seminar work time, explicit guardrails, peer feedback prompts, and an exit ticket requiring one concrete next step and one guardrail commitment.

Prompt Suggestions for Each Area

Recommended Workflow & Prompt Library

Once you have a prompt level in mind, follow this workflow to move from a raw AI draft to a classroom-ready plan. Prompt libraries help with starting structure, not final decisions — you should still verify and adapt. However, the AI for Education prompt library is an excellent resource that strongly assists prompt design.

This workflow ensures that AI accelerates your planning without replacing your professional judgment. Every step keeps you — the educator — in control of quality, accuracy, and fit for your real learners.

Sample Revision Prompt

"Revise this so timing is realistic minute-by-minute, checks for understanding are embedded, and differentiation is included. Keep materials limited to what I listed. Keep in mind, the class is ___ minutes."

Prompt Library Resources

Prompt Library: Lesson Planning

www.aiforeducation.io

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Lesson Plans Prompts

AI for Education

Lesson Plans — AI for Education

Lesson Plans

Human-in-the-Loop Checklist

AI can draft a lesson plan quickly, but the educator must verify every component before teaching it. Use this checklist after generating and revising your AI output to confirm the plan is truly ready for your classroom. No AI output should go directly from screen to classroom without a human verification pass.

Alignment

  • Objectives align to the rest of the plan
  • Standards or outcomes match what I am actually teaching
  • Anticipatory set connects to the objective and is not just a fun hook

Instruction & Practice

  • Direct instruction is clear, accurate, and appropriately scaffolded
  • Guided practice includes checks for understanding
  • Independent practice matches the skill students are expected to demonstrate

Assessment & Feasibility

  • Assessment provides real evidence of learning
  • Differentiation is specific and realistic for my learners
  • Timing and pacing are feasible

Privacy Guardrails

  • Privacy guardrails are followed
  • No student-identifiable information is included

PAUSE + DO: Revise and Improve Your Output

01

Run a Revision Prompt

Tighten the plan using the sample revision prompt. Adjust pacing and add approximate timing for each section.

02

Embed Checks for Understanding

Add at least two checks for understanding and strengthen differentiation with at least two concrete supports.

03

Refine Assessment

Add or refine the assessment so it matches the objective. Edit the plan manually so it fits your real classroom context.

04

Save Version 2

Save your revised version as "Lesson Plan Version 2" and post it along with your prompt, revision prompt, and a short reflection.

NotebookLM Walkthrough: Exploring the Source Notebook

This short walkthrough gives an overview of the NotebookLM I built using the sources that helped shape these webpages. NotebookLM is an AI-powered research assistant designed to help users organize source material, ask grounded questions, and generate source-based supports from what they upload. In this video, I walk through how I used it to revisit articles, trace recurring themes, and think through ideas across multiple sources in one place.

One of the features I find most useful is the way NotebookLM can turn a source collection into different kinds of learning supports. The Audio Overview creates a source-grounded discussion generated from your uploaded materials, and Google describes it as a deep-dive conversation between AI hosts about the key ideas in the notebook. The Mind Map gives a visual summary of the main topics and related ideas as a branching diagram, which can be especially helpful when you are trying to step back and see the bigger picture across multiple readings. The Video Overview turns notebook content into an AI-generated visual summary, though Google notes that these videos can take time to generate and may contain inaccuracies or glitches.

What makes the Audio Overview especially interesting is that it can become interactive. NotebookLM supports an Interactive Mode (Beta, English only) that lets you join the conversation and interact with the AI hosts while the overview is playing, which makes it feel less like a static summary and more like a live way to explore your sources. That is part of what this walkthrough is meant to highlight: not just what NotebookLM is, but how it can help faculty and graduate students engage research materials in more flexible and approachable ways.

Community Conversations, Closure & References

This module closes with two important elements: a community discussion on acceptable AI use in 2026, and a personal closure activity to consolidate your learning. Post your response to at least one discussion question on the discussion board.

Community Conversations: Acceptable AI Use in 2026

1

What does acceptable AI use look like for faculty and graduate students in teaching and learning spaces?

2

What belongs in the green-light zone for planning, communication, and productivity?

3

What belongs in the yellow zone, requiring additional caution or institutional guidance?

4

What is clearly red-light use to avoid entirely?

5

What shared guardrails do we want around privacy, data protection, verification, accuracy, and automation bias?

6

How should we address environmental impact concerns as part of our shared norms?

7

How do we communicate that AI is support, not replacement, for teaching and mentoring?

8

What expectations do we want for students, and how should faculty/grad instructors communicate them consistently?


Optional Submission

  • Post your revised lesson plan (Version 2)
  • Post your extra artifact
  • Include your prompt and your revision prompt
  • Add a short reflection: What improved the quality of your output most? What is one guardrail you kept? What is one verification step you took?

References

1

AI for Education. (2025). Prompt library: Lesson planning. https://www.aiforeducation.io/prompt-library-lesson-planning

2

Alreiahi, N. J., & Alrwaihed, N. (2025). Integrating AI tools into preservice mathematics teacher education. Contemporary Educational Technology, 17(4), 1–17. https://doi.org/10.30935/cedtech/17549

3

Andersen, G., & Yang, S. (2025). A survey of K-12 teachers' perspectives on teaching with generative AI. The Advocate, 30(2), Article 3. https://newprairiepress.org/advocate/vol30/iss2/3

4

Gold, L. A., Winn, V., & Arnold, J. M. (2025). Exploring the impact of generative AI on curriculum design and instruction. Journal of Teaching and Learning with Technology, 14 (Special Issue), 35–47. https://doi.org/10.14434/tollt.v12i1.41670

5

Karakaya, K. (2025). Human-AI interaction with large language models in complex information tasks. Asian Journal of Distance Education, 20(1), 25–33. https://doi.org/10.5281/zenodo.14585787

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End of Module

You have completed the AI Prompting for Lesson Design module of the University of Arizona Educator/Instructor Preparation Programs AI Learning Series.

Continue your learning with the next module: AI Tools and Decision Systems.

Credits: Created with images by brent coulter — "Sonoran Sunset" • Jayeda akter — "HUMAN-IN-THE-LOOP isolated on Transparent Background"