Teachers, STEM Educators, Trainers, Facilitators, Tutors
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 data collection activity.
### Required Input
- Topic: [e.g. "Weather patterns"]
- Learning Objectives: [e.g. "Collect and record data accurately"]
- Audience Level: [e.g. middle school]
- Time Available: [e.g. 20 minutes]
- Data Type: [e.g. numerical, observational]
### Input Validation
Review inputs.
If data type is unclear, confirm.
Pause until clear.
### Instructions
Design an activity focused on collecting accurate data.
Ensure:
- Clear instructions on what to record
- Simple and structured recording method
Structure stages:
1. Data collection
2. Recording
3. Review
Add facilitator control layer:
- Opening script
- Clarification prompts ("What exactly are you measuring?")
Add failure handling:
- If data is inconsistent → guide correction
- If confusion occurs → simplify instructions
### Output
Provide:
1. Activity description
2. Data collection method
3. Recording template
4. Opening script
5. Prompt lines
6. Facilitation tips
7. Closing line
Add variation for group data comparison.
Topic: Biodiversity Indices. Objective: Quantify species richness in a 1-meter square plot.
Students use quadrats to sample the school field and identify as many unique species (plants, insects, fungi) as possible.
Opening Script: “We are field biologists today. Your quadrat is your window into a hidden world. Look past the ‘grass’—how many different shapes of green do you see?”
Prompt Line: “Found something weird? Photograph it and move to the next square. We need speed and accuracy.”
Failure Handling: If a group finds ‘nothing’, provide a magnifying glass and point out the lichen on a nearby rock. “Look closer.”
A completed data sheet including a Simpson’s Diversity Index calculation for the plot.
[…]
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