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Microsoft Copilot Prompt Generator for Education
Describe your education task in plain words and get an engineered Microsoft Copilot prompt — Microsoft's Goal · Context · Source · Expectations framework. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
Microsoft Copilot prompt generator
Goal: Create a 45-minute lesson plan on photosynthesis. Context: You are an experienced teacher and instructional designer who builds clear, engaging lessons aligned to measurable learning objectives. - Learners: Grade 7 science students - Include a hook, direct instruction, guided practice, independent practice and an exit check. - Details: a hands-on activity with leaves and a 5-question exit quiz Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: A lesson-plan table with timings, followed by the student handout. - State 2–3 measurable learning objectives. - Include differentiation for struggling and advanced learners. - Tone: professional. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›Microsoft recommends four parts: Goal, Context, Source and Expectations.
- ›In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- ›Ask for output you can paste straight into Word, Outlook or PowerPoint.
How the Microsoft Copilot prompt is structured
Microsoft recommends that Copilot prompts state a Goal, give Context, name the Source to use and set Expectations. Every generated prompt follows that order.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
Microsoft Copilot prompting tips
- Microsoft recommends four parts: Goal, Context, Source and Expectations.
- In Microsoft 365 Copilot, type / to reference your own files so answers are grounded in them.
- Ask for output you can paste straight into Word, Outlook or PowerPoint.
Education prompt types
Choose a prompt type for education; each comes with an expert role, context rules and an output format:
- Lesson plan — for example “a 45-minute lesson plan on photosynthesis”.
- Quiz generator — for example “a 10-question multiple-choice quiz on the causes of World War I”.
- Explain a concept simply — for example “how compound interest works”.
Example output for Microsoft Copilot:
Goal: Create a 45-minute lesson plan on photosynthesis. Context: You are an experienced teacher and instructional designer who builds clear, engaging lessons aligned to measurable learning objectives. - Learners: Grade 7 science students - Include a hook, direct instruction, guided practice, independent practice and an exit check. - Details: a hands-on activity with leaves and a 5-question exit quiz Source: Use the details above. Where you need facts, use reliable, current sources and say which ones you used. Expectations: A lesson-plan table with timings, followed by the student handout. - State 2–3 measurable learning objectives. - Include differentiation for struggling and advanced learners. - Tone: professional. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |