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Computing · Secondary 3

Active learning ideas

AI and Automation: Job Displacement and New Opportunities

Active learning works especially well for this topic because students need to confront their assumptions about AI and work through ethical dilemmas in real contexts. When students engage in debates, role-plays, and mapping exercises, they move beyond abstract ideas to see how automation affects people and communities in Singapore. This hands-on approach helps them connect theory to lived experience.

MOE Syllabus OutcomesMOE: Ethics and Social Issues - S3
30–50 minPairs → Whole Class4 activities

Activity 01

Stations Rotation45 min · Small Groups

Debate Carousel: Automation Ethics

Divide class into teams to argue for or against automating a specific job, like warehouse picking. Teams rotate stations to defend, rebut, and refine positions using provided data cards on costs and benefits. Conclude with a class vote and reflection on ethical trade-offs.

Predict how AI and automation will transform the future job market.

Facilitation TipDuring the Debate Carousel, assign clear timekeepers and rotate speakers so quieter students get a chance to contribute.

What to look forPose the following question to small groups: 'Imagine a company in Singapore is replacing 20% of its customer service staff with AI. What are the company's ethical obligations to these displaced workers, and what specific support should be offered?' Have groups share their top two obligations and support strategies.

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Activity 02

Stations Rotation30 min · Pairs

Job Future Mapping: Pairs Brainstorm

Pairs list five current jobs affected by AI, then hypothesize three new roles per job with required skills. Use graphic organizers to connect old to new, sharing via gallery walk. Discuss Singapore-specific examples like in logistics.

Evaluate the ethical responsibilities of companies deploying AI that displaces human workers.

Facilitation TipFor Job Future Mapping, provide Singapore-specific job data sheets to ground brainstorming in reality.

What to look forAsk students to write down one job they believe is most likely to be automated in Singapore within the next 10 years and one entirely new job role they predict will be created due to AI. For each, they should provide a one-sentence justification.

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Activity 03

Stations Rotation50 min · Small Groups

Role-Play Simulation: Company Decision

Groups act as company stakeholders deciding on AI deployment: include workers, managers, ethicists. Present scenarios, deliberate responsibilities, and propose retraining plans. Debrief on real-world parallels.

Hypothesize new job roles that might emerge due to advancements in AI.

Facilitation TipIn the Role-Play Simulation, give student actors specific roles (e.g., HR manager, displaced worker) to add authenticity.

What to look forPresent students with a short news clip about automation in a specific Singaporean industry (e.g., food delivery drones). Ask them to identify one potential job that might be displaced and one new skill that workers might need to develop to adapt.

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Activity 04

Jigsaw40 min · Whole Class

Jigsaw: Whole Class

Assign expert groups to research AI trends in sectors like healthcare or finance. Regroup to teach peers and co-create a class timeline of job shifts. Vote on most likely future roles.

Predict how AI and automation will transform the future job market.

Facilitation TipFor the Trend Prediction Jigsaw, assign each group a different sector (e.g., healthcare, logistics) to ensure diverse perspectives.

What to look forPose the following question to small groups: 'Imagine a company in Singapore is replacing 20% of its customer service staff with AI. What are the company's ethical obligations to these displaced workers, and what specific support should be offered?' Have groups share their top two obligations and support strategies.

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A few notes on teaching this unit

Teachers should avoid presenting AI and automation as purely technical topics. Instead, frame them as human-centered issues by using local examples like port automation or chatbots in hawker centers. Research shows students learn best when they see the societal stakes, so emphasize ethics, worker dignity, and Singapore’s tripartite approach to transitions. Model skepticism toward techno-optimism and techno-pessimism alike.

Successful learning looks like students questioning assumptions, proposing nuanced solutions, and articulating the human impact behind job changes. They should be able to cite Singaporean examples, distinguish between task displacement and job loss, and recognize both risks and opportunities. Active participation in debates and simulations signals deep engagement.


Watch Out for These Misconceptions

  • During Debate Carousel: Automation Ethics, some students may claim AI will eliminate all human jobs completely.

    Use the debate prompts to redirect students to historical precedents like ATMs, asking them to find evidence in the Singapore context showing how automation reshapes rather than erases work.

  • During Role-Play Simulation: Company Decision, students might assume only low-skill jobs face displacement.

    Have students reference professional scenarios in the role-play to identify high-skill roles like radiology or legal research that AI impacts, using Singaporean job descriptions as evidence.

  • During Job Future Mapping: Pairs Brainstorm, students may believe new jobs won’t require reskilling.

    Challenge pairs to map training paths for their brainstormed jobs, referencing SkillsFuture or polytechnic courses in Singapore to ground their ideas in reality.


Methods used in this brief