Canadian Studies · Grade 9

Active learning ideas

Impact of Automation on Jobs

Active learning works for this topic because automation’s rapid changes can feel abstract to students until they see real data and debate real scenarios. Hands-on activities help students move from passive awareness to active analysis, making complex economic shifts concrete through graphs, role-play, and local examples.

• Ontario Curriculum Expectations
• Ontario Curriculum CGC1D/1P: C3.1. Describe the main sectors of Canada’s economy and the types of industries in each sector.
• Ontario Curriculum CGC1D/1P: C3.2. Analyse the economic impact of a specific resource-based industry in Canada.
• Ontario Curriculum CGC1D/1P: C3.5. Analyse the impact of globalization on Canada’s industries.

• 35–50 min
• Pairs → Whole Class
• 4 activities

Activity 01

• Expert Panel
• 45 min · Pairs

Data Dive: Automation Impact Charts

Provide Statistics Canada graphs on job changes by sector. In pairs, students identify vulnerable industries like manufacturing, plot trends from 2010-2023, and hypothesize reasons. Pairs share findings in a class gallery walk.

Analyze which sectors of the Canadian economy are most vulnerable to job displacement by automation.

Facilitation Tip

In Data Dive, have students first predict trends in small groups before revealing the real data, then compare their hypotheses to actual changes.

What to look for

Pose the following question to small groups: 'Which three jobs in Canada do you believe are most at risk from automation in the next 10 years, and why? What new jobs might emerge as a direct result?' Have groups share their top job at risk and one emerging job with the class.

• Understand
• Apply
• Analyze
• Evaluate
• Self-Management
• Relationship Skills

Activity 02

• Expert Panel
• 50 min · Small Groups

Debate Carousel: Sectors at Risk

Divide class into groups representing sectors: retail, healthcare, tech, agriculture. Groups prepare arguments on automation vulnerability using provided articles. Rotate to defend or challenge other groups' positions.

Predict the skills that will be most in demand in a future economy shaped by AI and automation.

Facilitation Tip

For the Debate Carousel, assign roles aggressively—some students must argue the sector is resilient, others must argue it’s vulnerable—before they switch perspectives.

What to look for

Provide students with a short news article about a Canadian company implementing AI. Ask them to identify one specific task that has been automated and one new skill that employees might need to develop as a result. Collect responses for a quick review of comprehension.

• Understand
• Apply
• Analyze
• Evaluate
• Self-Management
• Relationship Skills

Activity 03

• Expert Panel
• 40 min · Small Groups

Skills Forecast Workshop

Students brainstorm future skills in small groups, ranking them by AI resistance. Groups design a one-page retraining program poster for a Canadian province. Present and vote on most feasible ideas.

Design educational or policy responses to prepare the Canadian workforce for technological change.

Facilitation Tip

During the Skills Forecast Workshop, provide a bank of job ads from the past decade to show how required skills have shifted in fields like logistics or customer service.

What to look for

On an index card, have students write: 'One sector of the Canadian economy most vulnerable to automation is _____. The most in-demand skill for the future will likely be _____. A policy that could help workers adapt is _____.'

• Understand
• Apply
• Analyze
• Evaluate
• Self-Management
• Relationship Skills

Activity 04

• Expert Panel
• 35 min · Individual

Policy Pitch Simulation

Whole class acts as a government task force. Individuals research one policy response, like universal basic income or skills grants, then pitch in a 2-minute presentation with Q&A.

Analyze which sectors of the Canadian economy are most vulnerable to job displacement by automation.

Facilitation Tip

In the Policy Pitch Simulation, give groups a strict 5-minute limit to present their policy to avoid vague solutions and force focused arguments.

What to look for

Pose the following question to small groups: 'Which three jobs in Canada do you believe are most at risk from automation in the next 10 years, and why? What new jobs might emerge as a direct result?' Have groups share their top job at risk and one emerging job with the class.

• Understand
• Apply
• Analyze
• Evaluate
• Self-Management
• Relationship Skills

A few notes on teaching this unit

Experienced teachers approach this topic by grounding abstract concepts in students’ lived experiences, such as comparing a parent’s job today to automated processes they might have seen in a factory or grocery store. Avoid framing automation as an inevitable villain; instead, treat it as a tool whose impact depends on policy and education. Research shows students grasp economic complexity better when they analyze local data first, then scale up to national trends, reversing the typical textbook approach.

Successful learning looks like students using Statistics Canada data to explain job trends, debating sector risks with evidence, and designing a policy pitch that addresses both displacement and opportunity. They should connect automated systems to specific job tasks and articulate skill shifts for future workplaces.

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Watch Out for These Misconceptions

• During Data Dive: Automation Impact Charts, watch for students assuming job loss is universal.

  Have groups graph net job growth using Brookfield Institute data before they label any sector as purely declining, forcing them to compare displacement with creation.

• During Debate Carousel: Sectors at Risk, watch for students believing only low-skill jobs are threatened.

  Require each group to cite at least one white-collar task (e.g., legal research, radiology analysis) and one blue-collar task during their debate to correct this imbalance.

• During Policy Pitch Simulation, watch for students assuming automation won’t affect Canada due to protections.

  Provide Windsor factory closure data as a case study during the simulation, asking groups to design policies that address real regional impacts rather than hypothetical barriers.

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Methods used in this brief

• Expert Panel