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Economics & Business · Year 12

Active learning ideas

The Future of Work and Automation

Active learning helps students grasp the dynamic nature of automation’s impact on work. Through role-play, debate, and data analysis, they move beyond abstract concepts to see real-world patterns in job shifts, making the topic more tangible and engaging for Year 12 learners.

ACARA Content DescriptionsAC9EC12K09AC9EC12S04
35–50 minPairs → Whole Class4 activities

Activity 01

Jigsaw50 min · Small Groups

Jigsaw: Sector Impacts

Assign small groups one Australian sector like mining or healthcare. They research automation effects using ABS data and prepare 3-minute summaries. Groups then jigsaw to teach peers and compile class impacts report.

Analyze the potential impact of automation on different sectors of the Australian labor market.

Facilitation TipDuring the Jigsaw Research activity, assign each group a specific industry so students become experts in one sector’s automation risks and opportunities before teaching peers.

What to look forPose the question: 'Which Australian industries are most vulnerable to automation in the next decade, and why?' Ask students to provide specific examples and justify their reasoning, referencing data or case studies discussed in class.

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Activity 02

World Café45 min · Pairs

Policy Design Workshop: Mitigation Strategies

In pairs, students identify a vulnerable occupation and design two policies, such as retraining subsidies. They present pitches with pros, cons, and cost estimates. Class votes on most feasible options.

Predict how artificial intelligence might reshape future employment opportunities.

Facilitation TipIn the Policy Design Workshop, provide a template with sections for problem identification, policy tools, and expected outcomes to guide students’ collaborative thinking.

What to look forPresent students with a short news article about a new AI application. Ask them to identify one potential positive economic impact and one potential negative economic impact on the Australian labor market, writing their answers in two bullet points.

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Activity 03

World Café40 min · Pairs

Debate Carousel: AI Job Creation vs Loss

Pairs prepare arguments for or against net job gains from AI. Rotate opponents every 5 minutes for three rounds, noting strongest counterpoints. Debrief as whole class on evidence quality.

Design policy responses to mitigate the negative consequences of technological unemployment.

Facilitation TipFor the Debate Carousel, rotate groups every 5 minutes to expose students to diverse arguments and refine their own reasoning with new evidence.

What to look forOn an index card, have students write down one policy recommendation they believe the Australian government should implement to prepare for the future of work, and briefly explain why they chose that policy.

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Activity 04

World Café35 min · Whole Class

Future Timeline Simulation: Labor Market Shifts

Whole class builds a shared timeline of work changes to 2040, posting sticky notes on predictions per decade. Discuss trends and policy needs based on collective input.

Analyze the potential impact of automation on different sectors of the Australian labor market.

Facilitation TipDuring the Future Timeline Simulation, give each student a role card with a future year to encourage diverse perspectives on long-term labor market changes.

What to look forPose the question: 'Which Australian industries are most vulnerable to automation in the next decade, and why?' Ask students to provide specific examples and justify their reasoning, referencing data or case studies discussed in class.

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A few notes on teaching this unit

Teaching this topic works best when you balance skepticism with curiosity. Avoid presenting automation as an inevitable force; instead, use historical examples to show how societies adapt. Research suggests students retain more when they analyze real data, so prioritize ABS reports and case studies over generic predictions. Encourage students to question assumptions, such as the idea that only low-skilled jobs are at risk, by grounding discussions in evidence from professional fields like law or healthcare.

By the end of these activities, students will articulate sector-specific impacts of automation, evaluate policy responses, and justify their positions using evidence. Their work should reflect critical analysis of data and real-world case studies from the Australian context.


Watch Out for These Misconceptions

  • During Jigsaw Research, watch for students assuming automation permanently eliminates jobs without creating new ones. Redirect them to their sector’s case studies, which highlight emerging roles like AI trainers or cybersecurity analysts in manufacturing or tech services.

    During the Future Timeline Simulation, have students annotate their timeline with both job losses and new roles, using data from their jigsaw research to justify each entry. Peer discussions in mixed groups will reveal the balance between displacement and creation.

  • During Debate Carousel, listen for students claiming only low-skill jobs face automation risks. Redirect them to the Policy Design Workshop materials, which include ABS reports on high-skill vulnerabilities in accounting, law, and healthcare.

    During the Policy Design Workshop, ask students to compare job loss data across skill levels in their assigned sectors. Use the debate carousel to gather arguments about high-skill risks, then integrate these findings into their policy solutions.

  • During Policy Design Workshop, watch for students assuming no government intervention can address technological unemployment. Redirect them to the Future Timeline Simulation, where they explore long-term impacts of policy tools like reskilling programs or wage subsidies.

    During the Policy Design Workshop, provide students with case studies of successful interventions, such as Germany’s apprenticeship programs or Australia’s JobTrainer Fund. Have them evaluate these examples before designing their own policies, using the timeline simulation to project outcomes.


Methods used in this brief