Computer Science · 11th Grade

Active learning ideas

AI and the Future of Work

Active learning works for this topic because AI-driven job changes are unfolding now, not in some distant future. Students need to analyze real data and test ideas with peers to see how labor markets actually shift, not just how pundits predict.

• Common Core State Standards
• CSTA: 3B-IC-26
• CSTA: 3B-IC-27

• 20–50 min
• Pairs → Whole Class
• 3 activities

Activity 01

• Formal Debate
• 50 min · Small Groups

Scenario Planning: Automation in 2035

Assign each group one sector (healthcare, transportation, retail, creative industries). Groups research current automation trends in that sector, project plausible outcomes for workers in 10 years, and present a 'spectrum of futures' ranging from best to worst case with the policy levers that determine which occurs.

Predict how AI and automation will transform various industries and job roles.

Facilitation Tip

During Scenario Planning: Automation in 2035, have students cite specific data points from the BLS or other reports when making claims about future job shifts.

What to look for

Pose the question: 'Imagine you are a city council member. Given the rise of automation in manufacturing, what are two concrete steps your city could take to support displaced workers?' Students should share their ideas and justify their choices based on feasibility and impact.

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Activity 02

• Structured Academic Controversy
• 35 min · Pairs

Structured Academic Controversy: Universal Basic Income

Pairs argue that UBI is the right policy response to AI-driven job displacement, then switch and argue for reskilling and education investment instead. After both rounds, partners present a synthesized policy recommendation that draws from both perspectives.

Analyze the ethical considerations surrounding job displacement due to AI.

Facilitation Tip

In the Structured Academic Controversy on Universal Basic Income, assign roles explicitly and require students to restate their opponent’s strongest point before rebutting it.

What to look for

Provide students with a short news article about AI impacting a specific job sector. Ask them to identify: 1) The industry affected, 2) The specific AI technology mentioned, and 3) One potential ethical concern raised by this development.

• Analyze
• Evaluate
• Create
• Social Awareness
• Relationship Skills

Activity 03

• Think-Pair-Share
• 20 min · Pairs

Think-Pair-Share: Job Vulnerability Analysis

Give students an abbreviated occupational database showing automation risk scores. Students individually predict which factors correlate with high risk, compare with a partner, then the class builds a shared model of what makes a job more or less automatable.

Design educational and policy initiatives to prepare society for an AI-driven economy.

Facilitation Tip

For the Job Vulnerability Analysis Think-Pair-Share, provide a pre-selected set of occupations with automation risk scores so students focus on analysis rather than data hunting.

What to look for

Students draft a brief (1-paragraph) prediction about how AI will change a job role they are interested in. They then exchange drafts with a partner. The partner provides feedback on the clarity of the prediction and identifies one skill that might become more important for that role in the future.

• Understand
• Apply
• Analyze
• Self-Awareness
• Relationship Skills

A few notes on teaching this unit

Teach this topic by balancing realism with agency. Start with current data so students don’t dismiss automation as a distant threat, then use structured controversy to surface nuanced trade-offs. Avoid framing AI as purely good or bad; instead, help students see it as a tool that reshapes how work gets done and who benefits from it.

Successful learning looks like students using evidence to challenge assumptions, proposing concrete policy or personal responses to automation, and revising their views after examining counterarguments and data. They should articulate trade-offs between individual action and systemic change.

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Watch Out for These Misconceptions

• During Scenario Planning: Automation in 2035, some students may assume that AI will create as many jobs as it destroys.

  During Scenario Planning: Automation in 2035, have students use the Bureau of Labor Statistics occupational data to map out which specific jobs are declining and which are growing, noting the skills mismatch and timing gaps between losses and gains.

• During the Think-Pair-Share: Job Vulnerability Analysis, students may believe only low-skill jobs are at risk.

  During the Think-Pair-Share: Job Vulnerability Analysis, point students to automation risk scores for occupations like paralegals or accountants to show how task structure, not skill level, drives vulnerability.

• During Structured Academic Controversy: Universal Basic Income, some may think learning to code alone will protect workers from automation.

  During Structured Academic Controversy: Universal Basic Income, ask students to weigh individual reskilling efforts against systemic labor market changes by examining policy responses proposed in the debate materials.

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Methods used in this brief

• Formal Debate
• Structured Academic Controversy
• Think-Pair-Share