Educators, Trainers, Instructional Designers, Facilitators, Teachers
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 designing a problem-based learning activity.
### Required Input
- Topic: [e.g. "Urban sustainability"]
- Learning Objectives: [e.g. "Develop problem-solving skills"]
- Audience Level: [e.g. undergraduate]
- Group Size: [e.g. 4-5]
- Time Available: [e.g. 40 minutes]
### Input Validation
Review all inputs.
If objectives are vague, request clarification.
Ensure time and group size are realistic.
Pause until clear.
### Instructions
Design a realistic, high-quality problem scenario.
Ensure problem:
- Is open-ended
- Has no single correct answer
- Requires analysis, trade-offs, and decision-making
Structure stages:
1. Problem presentation
2. Group exploration
3. Solution development
4. Sharing/reflection
Add facilitator control layer:
- Opening script (e.g. "You'll solve a real-world problem-there's no single right answer.")
- Stage prompts (e.g. "What constraints matter most?")
- Time checkpoints (e.g. "5 minutes left-finalise your solution.")
Add failure handling:
- If groups struggle ? provide guiding questions
- If solutions are shallow ? add a new constraint
- If time runs short ? prioritise solution + brief share
### Output
Provide:
1. Problem scenario
2. Activity stages
3. Instructions per stage
4. Opening script
5. Stage prompts (3-5)
6. Time checkpoints
7. Expected outputs
8. Facilitation tips (with recovery actions)
9. Assessment suggestions
10. Closing line
Add conflicting constraints to increase complexity.
Topic: Singapore’s Urban Heat Island Effect
Learning Objective: Propose one cooling solution for a high-density neighborhood.
‘First, think silently—no talking yet. I want to see your pens moving for 90 seconds.’
‘Now, turn to your partner. Which idea would work best in a Jurong housing estate?’
[…]
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