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Computer Science · Grade 11

Active learning ideas

The Future of Work and Automation

Active learning works well for this topic because students need to engage with complex, evolving ideas rather than memorize static facts. By participating in debates, case studies, and simulations, they practice critical thinking about real-world impacts, which builds both knowledge and confidence in applying ideas.

Ontario Curriculum ExpectationsCS.HS.C.7
35–50 minPairs → Whole Class4 activities

Activity 01

World Café45 min · Small Groups

Debate Carousel: Automation Job Impacts

Divide class into small groups to prepare pro and con arguments on whether automation creates more jobs than it eliminates, using data from sources like Statistics Canada. Groups rotate stations to debate against others and refine positions. Conclude with a whole-class vote and reflection on evidence strength.

Predict how increasing automation will reshape the future job market.

Facilitation TipFor the Debate Carousel, assign roles like industry representatives and policy analysts to ensure balanced perspectives and structured arguments.

What to look forPose the question: 'Imagine you are a worker whose job is at high risk of automation in the next 10 years. What are two concrete steps you would take to prepare for this change, and why?' Facilitate a class discussion where students share and critique each other's strategies.

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Activity 02

World Café35 min · Pairs

Case Study Pairs: Ethical AI Dilemmas

Pairs review real cases, such as AI hiring tools with bias or autonomous vehicles in accidents. They identify developer ethical lapses and propose fixes. Pairs share findings in a gallery walk for peer feedback.

Analyze the ethical responsibilities of developers creating autonomous systems.

Facilitation TipIn the Case Study Pairs activity, provide a rubric that highlights key ethical principles to guide students’ analysis of AI dilemmas.

What to look forAsk students to write down one industry they believe will be most significantly impacted by automation and one ethical concern developers of AI for that industry should address. Collect and review responses to gauge understanding of both economic and ethical dimensions.

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Activity 03

World Café50 min · Small Groups

Strategy Design Workshop: Adaptation Plans

Small groups brainstorm personal and societal strategies, like lifelong learning paths or government retraining funds. They create visual prototypes, such as infographics or policy briefs. Groups pitch ideas to the class for critique and iteration.

Design strategies for individuals and societies to adapt to a future with widespread automation.

Facilitation TipDuring the Strategy Design Workshop, circulate with guiding questions like 'What skills will remain valuable?' to keep groups focused on adaptability.

What to look forPresent students with a short case study about a company implementing new automation technology. Ask them to identify one potential benefit and one potential drawback for the workforce, and to briefly explain their reasoning.

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Activity 04

World Café40 min · Individual

Simulation Station: Future Job Fair

Set up stations representing automated industries with role cards for jobs lost, gained, or evolved. Students rotate, interviewing 'employers' and noting skills needed. Debrief on trends and preparation steps.

Predict how increasing automation will reshape the future job market.

Facilitation TipAt the Simulation Station, set clear time limits for role-play to maintain energy and relevance to real-world job fairs.

What to look forPose the question: 'Imagine you are a worker whose job is at high risk of automation in the next 10 years. What are two concrete steps you would take to prepare for this change, and why?' Facilitate a class discussion where students share and critique each other's strategies.

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A few notes on teaching this unit

Teachers should emphasize the iterative nature of technological change, using historical examples to show how industries adapt over time. Avoid presenting automation as purely dystopian or utopian, instead framing it as a dynamic force requiring proactive responses. Research suggests students grasp these concepts better when they connect abstract ideas to tangible, role-based activities.

Students will demonstrate understanding by connecting economic trends to ethical responsibilities and personal adaptability. Successful learning looks like clear explanations of automation’s dual effects, thoughtful ethical reasoning, and concrete strategies for future job readiness.


Watch Out for These Misconceptions

  • During the Debate Carousel, students may claim automation eliminates jobs without creating new ones. Redirect their focus by having groups create a timeline showing how past industrial revolutions led to new roles.

    During the Debate Carousel, provide students with data on emerging tech jobs and ask them to revise their arguments to include these roles.

  • During the Case Study Pairs activity, students might assume AI systems operate ethically by default. Use the case studies to highlight how biases emerge from developer choices and training data.

    During the Case Study Pairs activity, require students to identify at least one bias in their assigned dilemma and propose a testing method to address it.

  • During the Strategy Design Workshop, students may feel they have no control over automation's effects. Use the workshop’s materials to emphasize how adaptability and skills development create agency.

    During the Strategy Design Workshop, ask students to map their personal skills to future job roles and explain how they can grow those skills proactively.


Methods used in this brief