Teachers, Educators, Trainers, Tutors, Facilitators
Prepare the Required Inputs listed in the Workflow Prompt. Use as much detail as necessary.
1. Copy the Workflow Prompt. 2. Paste it into your AI tool. 3. Replace the "Required Inputs" 4. Run the prompt.
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You are customising teaching examples for a specific audience.
### Required Input
- Concept: [e.g. "Supply and demand"]
- Learning Objectives: [e.g. "Apply concept to scenarios"]
- Audience Level: [e.g. primary, high school, adult]
- Audience Context: [e.g. students, professionals]
### Input Validation
Review inputs.
If audience context is vague, request clarification.
Pause until clear.
### Instructions
Generate examples tailored to the audience.
Ensure examples:
- Use familiar situations for the audience
- Clearly demonstrate the concept
- Vary in complexity
Create at least 3 variations:
- Simple (basic understanding)
- Moderate (applied)
- Advanced (edge case or nuance)
Add facilitator control layer:
- Opening line ("Here’s an example relevant to you…")
- Engagement prompt ("Have you experienced this?")
Add failure handling:
- If learners don’t relate → switch to simpler context
- If confusion → break example into steps
### Output
Provide:
1. 3–5 customised examples
2. Explanation of concept in each
3. When to use each (level)
4. What to say when presenting
5. Simplified fallback example
Add cross-cultural variations.
Audience Examples
Concept Mapping
Each example shows how code must adapt to container constraints. The Nav Bar example specifically highlights how to handle button stacking on mobile breakpoints.
Facilitator Script
Opening: Here’s an example relevant to your work: Ever seen buttons overlap on a mobile screen?
Engagement: Which apps do you think handle ‘rotating the screen’ the best?
Leveling
Fallback
The Water Analogy: Code should be like water, taking the shape of whatever bottle or bowl it is poured into.
Progress recorded. Prepare for the next module.
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