The Future of Work and AutomationActivities & Teaching Strategies
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.
Learning Objectives
- 1Analyze the differential impact of automation on specific Australian industries, such as manufacturing, retail, and healthcare.
- 2Predict how advancements in artificial intelligence will create new job roles and potentially displace existing ones in the Australian economy.
- 3Design a policy proposal for the Australian government to address technological unemployment, considering fiscal and monetary tools.
- 4Evaluate the ethical implications of widespread automation on income inequality and social welfare in Australia.
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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.
Prepare & details
Analyze the potential impact of automation on different sectors of the Australian labor market.
Facilitation Tip: During 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.
Setup: Flexible seating for regrouping
Materials: Expert group reading packets, Note-taking template, Summary graphic organizer
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.
Prepare & details
Predict how artificial intelligence might reshape future employment opportunities.
Facilitation Tip: In the Policy Design Workshop, provide a template with sections for problem identification, policy tools, and expected outcomes to guide students’ collaborative thinking.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
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.
Prepare & details
Design policy responses to mitigate the negative consequences of technological unemployment.
Facilitation Tip: For the Debate Carousel, rotate groups every 5 minutes to expose students to diverse arguments and refine their own reasoning with new evidence.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
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.
Prepare & details
Analyze the potential impact of automation on different sectors of the Australian labor market.
Facilitation Tip: During the Future Timeline Simulation, give each student a role card with a future year to encourage diverse perspectives on long-term labor market changes.
Setup: Small tables (4-5 seats each) spread around the room
Materials: Large paper "tablecloths" with questions, Markers (different colors per round), Table host instruction card
Teaching This Topic
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.
What to Expect
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.
These activities are a starting point. A full mission is the experience.
- Complete facilitation script with teacher dialogue
- Printable student materials, ready for class
- Differentiation strategies for every learner
Watch Out for These Misconceptions
Common MisconceptionDuring 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.
What to Teach Instead
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.
Common MisconceptionDuring 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.
What to Teach Instead
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.
Common MisconceptionDuring 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.
What to Teach Instead
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.
Assessment Ideas
After Jigsaw Research, pose the question: 'Which Australian industries are most vulnerable to automation in the next decade, and why?' Ask students to reference the data or case studies from their sector discussions when justifying their answers.
After the Debate Carousel, present students with a short news article about a new AI application. Ask them to identify one potential positive economic impact and one potential negative impact on the Australian labor market, referencing evidence from the debate or policy workshop activities.
After the Policy Design Workshop, have students write on an index card one policy recommendation they believe the Australian government should implement to prepare for the future of work, and briefly explain why they chose it, using insights from the workshop.
Extensions & Scaffolding
- Challenge early finishers to design a podcast episode interviewing a displaced worker and an emerging tech worker, using insights from the Jigsaw Research and Timeline Simulation activities.
- Scaffolding for struggling students: Provide sentence starters for debates like, 'One piece of evidence that supports my side is...' and pre-selected ABS data with key figures highlighted.
- Deeper exploration: Invite a guest speaker from an industry undergoing automation, or assign a research task to compare Australia’s policy responses with those of another country.
Key Vocabulary
| Automation | The use of technology, such as robots and software, to perform tasks previously done by humans. |
| Artificial Intelligence (AI) | The simulation of human intelligence processes by machines, especially computer systems, including learning, problem-solving, and decision-making. |
| Technological Unemployment | Joblessness that occurs when technology advances, causing labor demand to fall, leading to job losses. |
| Productivity Growth | An increase in the efficiency with which goods and services are produced, often driven by technological innovation. |
| Gig Economy | A labor market characterized by the prevalence of short-term contracts or freelance work, often facilitated by digital platforms. |
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