Venue: Discovate – Innovation, Science & Adventure Learning Park
Program Type: Full-Day Experiential Engineering Investigation
Age Group: Cambridge Primary Stage 5 (10–11 years)
Duration: Full-Day
Focus: Systems engineering, energy transfer, optimisation, safety integration, performance trade-offs, innovation impact
Cambridge Primary Science (Stage 5 – Forces and Energy):
• Explain how forces interact within mechanical systems
• Describe energy transfer and transformation
• Investigate variables and interpret patterns
• Apply cause-and-effect reasoning to complex systems
Cambridge Primary Design & Technology (Stage 5):
• Analyse how products are designed to solve problems
• Evaluate trade-offs between efficiency, safety and cost
• Develop and justify design improvements
Cambridge Primary English (Stage 5 – Analytical Communication):
• Construct structured, evidence-based arguments
• Justify conclusions using technical vocabulary
• Engage in evaluative discussion
AO1: Advanced Knowledge of Engineered Systems
Explain how interacting components, feedback mechanisms, and energy transfer enable system function.
AO2: Systems Analysis and Variable Evaluation
Investigate performance variables, analyse efficiency data, and explain cause-and-effect relationships within complex systems.
AO3: Risk Assessment and Optimisation Evaluation
Evaluate safety integration, identify trade-offs, and justify optimisation proposals using evidence.
AO4: Structured Engineering Communication and Synthesis
Produce analytical reports, redesign proposals, and structured arguments supported by documented field evidence.
This advanced engineering inquiry positions Discovate as a live systems laboratory where learners evaluate how complex engineered systems are designed, tested, improved, and managed.
Students move beyond observation to structured engineering analysis. They identify system inputs, processes, outputs, feedback loops, and safety integrations. They assess efficiency, evaluate risk, analyse trade-offs, and propose evidence-based design improvements grounded in optimisation thinking.
Students will:
• Analyse complex engineered systems using input-process-output models
• Evaluate energy transfer and mechanical advantage
• Investigate risk management as a core design principle
• Assess efficiency and performance trade-offs
• Construct justified optimisation proposals
By the end of the program, students will:
• Explain multi-component system interaction
• Evaluate efficiency using observed performance indicators
• Analyse safety mechanisms as integral design features
• Justify redesign proposals using cause-and-effect reasoning
• Synthesize field observations into structured engineering arguments
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