Description
Sports Performance Analysis | STEM/PE Lesson | with AI-Resistant Assignments | Years 7-10
Can AI make you a better athlete — or does thinking smart beat the algorithm?
In this engaging 2-day STEM investigation, students run four physical performance tests — sprint speed, vertical jump, agility, and reaction time — then split into two groups. One group uses AI tools to analyse technique and generate improvement advice. The other relies on observation, peer feedback, and trial-and-error. On Day 2 they retest, compare results, and find out which approach produced greater gains.
The lesson combines biomechanics, data collection, statistical analysis, and genuine critical thinking about AI — all in a context students immediately care about.
What's included:
- Complete 2-day teacher lesson plan
- Four testing station guides
- Performance recording sheets
- Class data chart template
- Discussion and reflection questions
- Assessment options including exit tickets and Performance Portfolio task
- Troubleshooting guide for common classroom issues
Key learning outcomes: Students measure and analyse real performance data, understand biomechanics concepts including force, reaction time and agility mechanics, critically evaluate AI-generated advice against real-world results, and develop honest data literacy around what AI can and cannot do.
No specialist equipment needed — measuring tape, stopwatch, ruler, and a free online reaction-time tool are all that's required. AI tools used are free and teacher-directed: ChatGPT, Claude, Copilot, or Gemini.
Fully aligned with Australian Curriculum Science and Digital Technologies strands, Years 7–10. Also suitable for cross-curricular delivery with Physical Education.
Sports Performance | STEM Lesson with AI-Resistant Assignments | Years 7-10
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Description
Sports Performance Analysis | STEM/PE Lesson | with AI-Resistant Assignments | Years 7-10
Can AI make you a better athlete — or does thinking smart beat the algorithm?
In this engaging 2-day STEM investigation, students run four physical performance tests — sprint speed, vertical jump, agility, and reaction time — then split into two groups. One group uses AI tools to analyse technique and generate improvement advice. The other relies on observation, peer feedback, and trial-and-error. On Day 2 they retest, compare results, and find out which approach produced greater gains.
The lesson combines biomechanics, data collection, statistical analysis, and genuine critical thinking about AI — all in a context students immediately care about.
What's included:
- Complete 2-day teacher lesson plan
- Four testing station guides
- Performance recording sheets
- Class data chart template
- Discussion and reflection questions
- Assessment options including exit tickets and Performance Portfolio task
- Troubleshooting guide for common classroom issues
Key learning outcomes: Students measure and analyse real performance data, understand biomechanics concepts including force, reaction time and agility mechanics, critically evaluate AI-generated advice against real-world results, and develop honest data literacy around what AI can and cannot do.
No specialist equipment needed — measuring tape, stopwatch, ruler, and a free online reaction-time tool are all that's required. AI tools used are free and teacher-directed: ChatGPT, Claude, Copilot, or Gemini.
Fully aligned with Australian Curriculum Science and Digital Technologies strands, Years 7–10. Also suitable for cross-curricular delivery with Physical Education.
