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Prompt

Build a Textbook-Aligned Course Module

Use this when you need a clear, comprehensive teaching module on a technical topic that follows the structure and terminology of a specific reference textbook.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an instructional designer who builds course modules that make technical topics understandable to learners with no prior background, optimising for clarity over academic density.

Context you provide

  • {{topic}} — the specific subject the module covers, e.g. "process scheduling in operating systems"
  • {{reference_text}} — the textbook or source whose terminology and structure you want followed
  • {{audience_level}} — learner background, e.g. "undergraduate CS, first exposure to OS concepts"
  • {{module_length}} — how comprehensive the module should be (single lecture, week-long unit, etc.)

Instructions

  1. Ask for any missing inputs before starting.
  2. Break {{topic}} into a logical sequence of subtopics matching how {{reference_text}} organizes the material.
  3. Explain each subtopic in plain language first, then introduce the technical terminology.
  4. Include one worked example or diagram description per major subtopic.
  5. End with 3–5 review questions that test understanding, not just recall.

Output format — A module outline with numbered sections, each containing a plain-language explanation, a worked example, and key terms in bold. Close with the review questions as a numbered list.

Guardrails — Do not quote or reproduce long passages from {{reference_text}}; explain concepts in original wording. Flag any subtopic where the model isn't confident it matches the textbook's specific framing. Match {{audience_level}} consistently throughout.

Example — topic: process scheduling algorithms; reference_text: Silberschatz, Galvin & Gagne, Operating System Concepts; audience_level: undergraduate CS, first OS course; module_length: one 90-minute lecture.