| Lesson Plan |
| Grade: |
Date: 25/02/2026 |
| Subject: Design and Technology |
| Lesson Topic: The common anthropometric measurements, including weight, height, knee height, sitting height, body mass index (BMI), body circumference (arm, waist, hip and calf) and waist-to-hip ratio (WHR). |
Learning Objective/s:
- Describe the key anthropometric measurements used in design (weight, height, knee height, sitting height, BMI, body circumferences, WHR).
- Calculate BMI and WHR from recorded data.
- Analyse measurement results to identify health‑risk categories.
- Demonstrate correct techniques for taking each anthropometric measurement.
- Apply measurement data to make ergonomic design recommendations.
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Materials Needed:
- Projector and screen for slides
- Whiteboard and markers
- Calibrated tape measures (several)
- Scales (kg) and stadiometers
- Printed data worksheets for each student
- Calculators or spreadsheet software
- Body‑diagram handouts showing measurement points
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Introduction:
Begin with a quick poll: “How many of you have ever measured your own height or weight?” Connect this to prior knowledge about product fit and safety. Explain that today’s success criteria are to correctly record measurements, compute BMI and WHR, and interpret the results for ergonomic design.
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Lesson Structure:
- Do‑now (5’) – Short quiz on why accurate measurements matter in product design.
- Mini‑lecture (10’) – Present key measurements, formulas for BMI & WHR, and health classification tables.
- Demonstration (8’) – Model correct use of tape measure, scale, and stadiometer for each measurement.
- Practical activity (20’) – In pairs, students measure each other, record data twice, and calculate averages.
- Data analysis (12’) – Students compute BMI and WHR, compare to classification thresholds, and discuss implications.
- Whole‑class reflection (5’) – Groups share one design recommendation based on their data; teacher summarises key points.
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Conclusion:
Recap the steps taken to collect and analyse anthropometric data and how these inform ergonomic decisions. For the exit ticket, each student writes one design recommendation derived from the measurements taken. Homework: research a product that uses anthropometric data and prepare a brief description.
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