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Engineering · Year 11

Active learning ideas

Future Challenges in Public Infrastructure

Future digital trends challenge students to look at the horizon of technological change. They explore emerging fields like Artificial Intelligence (AI), the Internet of Things (IoT), and quantum computing, forecasting how these will reshape industries and society. This isn't just about 'cool gadgets'; it's about analysing the security, ethical, and economic implications of these shifts. For example, how will AI impact the Australian job market, or what are the privacy risks of a city full of IoT sensors?

ACARA Content DescriptionsEA11-3EA11-4
25–60 minPairs → Whole Class3 activities

Activity 01

Inquiry Circle45 min · Small Groups

Inquiry Circle: The IoT Security Audit

Groups research a common IoT device (e.g., a smart fridge, a baby monitor, or a medical implant). They must identify three potential 'security nightmares' for that device and propose a 'Future Standard' that would make it safer for Australian consumers.

What historical lessons can be applied to future infrastructure planning?
AnalyzeEvaluateCreateSelf-ManagementSelf-Awareness
Generate Complete Lesson

Activity 02

Simulation Game60 min · Small Groups

Simulation Game: The 2040 Scenario Workshop

The class is split into groups representing different sectors (Health, Education, Mining, Arts). They are given a 'future event' (e.g., 'AI can now write 90% of all computer code'). They must map out the positive and negative impacts on their sector over the next 20 years.

How will climate change impact existing engineering structures?
ApplyAnalyzeEvaluateCreateSocial AwarenessDecision-Making
Generate Complete Lesson

Activity 03

Think-Pair-Share25 min · Pairs

Think-Pair-Share: AI Ethics Dilemma

Present a dilemma like 'The Trolley Problem' for self-driving cars. Students individually decide how the car should be programmed to react, then pair up to see if they can agree on a 'universal rule' for AI decision-making in life-or-death situations.

What defines a 'smart city' in the context of societal needs?
UnderstandApplyAnalyzeSelf-AwarenessRelationship Skills
Generate Complete Lesson

A few notes on teaching this unit


Watch Out for These Misconceptions

  • AI is 'sentient' and thinks like a human brain.

    Students often confuse 'Generative AI' with 'General AI'. Active investigations into how Large Language Models (LLMs) actually work (as 'probability engines') help them see that AI is a powerful tool, but it doesn't 'understand' things the way humans do.

  • The Internet of Things (IoT) is just about 'smart' home appliances.

    Many students miss the industrial and agricultural side of IoT. Using case studies of 'Smart Farms' in regional Australia helps them see how sensors are being used to save water and monitor livestock on a massive scale.


Methods used in this brief