Automation and the Future of Work

Active learning works well here because robotics and automation are rapidly changing fields. Students need to analyze real-world examples firsthand to grasp how technology reshapes industries and job roles. Moving beyond passive listening helps them connect abstract concepts to concrete career implications and societal shifts.

• Grade 9
• Computer Science
• 4 activities
• 25 min–50 min

Learning Objectives

1. Analyze how automation technologies, such as AI and robotics, are reshaping job tasks and industry structures in sectors like manufacturing and healthcare.
2. Classify job roles based on their susceptibility to automation, distinguishing between routine and non-routine tasks.
3. Evaluate the societal and economic implications of widespread automation, including potential job displacement and the need for new skills.
4. Design a personal or societal strategy for adapting to increased automation in the workforce.
5. Explain the role of networks and data in enabling modern automation systems.

Jigsaw

⏱ 50 min·Small Groups

Jigsaw: Automation by Sector

Assign small groups one industry, like manufacturing or healthcare. They research current automation examples and job changes using provided articles, then rotate to teach peers and compile class findings on a shared chart. End with predictions for 2030.

Prepare & details

Analyze how automation is transforming different sectors of the economy.

Facilitation Tip: During Jigsaw Research, assign each group a distinct sector and provide curated starter resources so students focus on analysis rather than hunting for information.

Setup: Flexible seating for regrouping

Materials: Expert group reading packets, Note-taking template, Summary graphic organizer

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

World Café

⏱ 25 min·Pairs

Pairs Sort: Job Risk Cards

Provide cards listing jobs like truck driver or software developer. Pairs sort them into low, medium, high automation risk categories with reasons, then justify choices in a class gallery walk.

Prepare & details

Predict which job roles are most likely to be affected by increasing automation.

Facilitation Tip: For Pairs Sort, model the sorting process with one card first so students understand the criteria before they begin.

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

• Understand
• Apply
• Analyze
• Social Awareness
• Relationship Skills

World Café

⏱ 45 min·Small Groups

Debate Carousel: Adaptation Strategies

Set up stations for individual vs. societal strategies. Small groups visit each, brainstorm ideas like upskilling programs, then debate best approaches as a whole class.

Prepare & details

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

Facilitation Tip: Set a strict 3-minute timer for each station in the Debate Carousel to keep discussions focused and equitable.

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

• Understand
• Apply
• Analyze
• Social Awareness
• Relationship Skills

World Café

⏱ 35 min·Individual

Design Challenge: Retraining App Prototype

Individuals sketch a simple app interface for job transition training. Pairs merge ideas, present to class for feedback on features like skill-matching algorithms.

Prepare & details

Analyze how automation is transforming different sectors of the economy.

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

• Understand
• Apply
• Analyze
• Social Awareness
• Relationship Skills

Teaching This Topic

Teachers should use this topic to model skepticism and data-driven analysis rather than fear of technology. Avoid framing automation as purely negative; instead, emphasize adaptation and opportunity. Research shows students retain more when they apply abstract concepts to familiar contexts, like their own career aspirations or local businesses. Use current, relatable examples to bridge the gap between classroom learning and real-world impacts.

What to Expect

Successful learning looks like students confidently identifying which job tasks are most susceptible to automation and explaining why. They should articulate concrete examples from different sectors and propose thoughtful adaptation strategies. Collaboration and evidence-based reasoning are key indicators of mastery in this topic.

Watch Out for These Misconceptions

Common Misconception

During Jigsaw Research, watch for students who assume automation will eliminate all human jobs.

What to Teach Instead

Use the sector group discussions to have students map which specific tasks are automated and which still require human input, using their research to justify their conclusions.

Common Misconception

During Pairs Sort, watch for students who think only factory work is affected by automation.

What to Teach Instead

Have pairs compare their sorted cards to identify service and professional roles, then discuss why these roles are also changing based on the job task descriptions they analyze.

Common Misconception

During Debate Carousel, watch for students who believe workers can ignore automation trends.

What to Teach Instead

Have students use their strategy plans from the carousel to identify at least one policy or community initiative they could support, then share these in whole-class discussion to highlight proactive adaptation.

Assessment Ideas

Discussion Prompt

After Jigsaw Research, facilitate a class discussion where students justify their predictions about three job roles most affected by automation. Have them reference specific technologies and task types from their sector research as evidence.

Quick Check

During Pairs Sort, circulate and ask each pair to identify two tasks from their cards that could be automated and one skill workers would need to adapt, using their sorted criteria as a guide.

Exit Ticket

After Design Challenge, collect student prototype descriptions and ask them to write one sentence explaining how automation relies on networks and data, then list one benefit and one challenge for society based on their prototype's focus.

Extensions & Scaffolding

• Challenge early finishers to research and present a case where automation created new jobs, using labor market data from Statistics Canada or the OECD.
• Scaffolding for struggling students: Provide partially completed Job Risk Cards with some tasks already categorized to guide their analysis.
• Deeper exploration: Invite a guest speaker who works in a field affected by automation to discuss their daily tasks and how their role has evolved.

Key Vocabulary

Automation	The use of technology to perform tasks with minimal human intervention. This can range from simple machines to complex artificial intelligence systems.
Robotics	The design, construction, operation, and application of robots. Robots are often used in automation to perform physical tasks.
Artificial Intelligence (AI)	The simulation of human intelligence processes by machines, especially computer systems. AI enables automation of cognitive tasks.
Job Displacement	The loss of employment due to technological change or economic shifts. Automation can lead to job displacement in certain industries.
Reskilling	The process of learning new skills to adapt to a changing job market. Reskilling is crucial for workers whose jobs are affected by automation.