Economics · Grade 11

Active learning ideas

Behavioral Economics

Behavioral economics requires students to confront their own decision-making habits, making active learning essential. Through experiments and design tasks, students experience cognitive biases firsthand, which deepens understanding beyond abstract theory. Hands-on activities create memorable connections between psychological insights and real-world choices.

• Ontario Curriculum Expectations
• ON: The Individual and the Economy - Grade 11
• ON: Economic Decision Making - Grade 11

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

Activity 01

• Experiential Learning
• 35 min · Pairs

Experiment: Loss Aversion Auction

Provide mugs or candies as items. Have pairs bid in a standard auction, then switch to an endowment auction where bidders own items first. Groups record bids and discuss why values rise after ownership. Debrief on loss aversion.

Explain how cognitive biases affect consumer choices.

Facilitation Tip

During the Loss Aversion Auction, circulate and quietly note which students adjust bids after seeing others’ choices, then ask them to share their reasoning in small groups.

What to look for

Present students with two product descriptions for identical items, one emphasizing '90% fat-free' and the other '10% fat'. Ask students to identify the framing effect at play and explain which description is likely to be more persuasive and why.

• Apply
• Analyze
• Evaluate
• Self-Awareness
• Self-Management
• Social Awareness

Activity 02

• Stations Rotation
• 45 min · Small Groups

Stations Rotation: Bias Simulations

Set up stations for anchoring (guess jar weights after high/low hints), framing (risky vs safe gambles worded differently), and status quo bias (default option preferences). Small groups rotate every 10 minutes, logging choices and rationales.

Analyze the concept of 'nudges' in public policy.

Facilitation Tip

For Bias Simulations, provide clear time limits at each station to prevent over-analysis, and ask students to record their initial reaction before discussing with peers.

What to look for

Pose the question: 'Can nudges be considered manipulative?' Facilitate a class discussion where students debate the ethical implications of using behavioral economics principles in public policy and marketing, citing specific examples.

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

Activity 03

• Experiential Learning
• 50 min · Small Groups

Design Challenge: Policy Nudges

In small groups, assign issues like organ donation or energy use. Teams create nudge posters with choice architecture examples, present to class, and vote on effectiveness. Discuss real-world applications.

Predict how framing effects can alter economic decisions.

Facilitation Tip

In the Policy Nudges design challenge, require students to test their nudge with a peer before finalizing, using a simple A/B comparison of two versions.

What to look for

Ask students to write down one cognitive bias they observed in their own decision-making process this week. They should briefly describe the situation and explain how the bias influenced their choice.

• Apply
• Analyze
• Evaluate
• Self-Awareness
• Self-Management
• Social Awareness

Activity 04

• Experiential Learning
• 40 min · Whole Class

Whole Class Debate: Rationality Myths

Divide class into teams to argue for or against 'Humans are rational economic actors.' Provide evidence cards on biases. Teams present, rebut, and vote; facilitate synthesis.

Explain how cognitive biases affect consumer choices.

Facilitation Tip

Guide the Rationality Myths debate by assigning roles (e.g., psychologist, economist, policymaker) to ensure balanced perspectives and structured arguments.

What to look for

Present students with two product descriptions for identical items, one emphasizing '90% fat-free' and the other '10% fat'. Ask students to identify the framing effect at play and explain which description is likely to be more persuasive and why.

• Apply
• Analyze
• Evaluate
• Self-Awareness
• Self-Management
• Social Awareness

A few notes on teaching this unit

Start with the Loss Aversion Auction to immediately confront students with their own biases in a low-stakes setting. Use the Bias Simulations to build empathy for how cognitive shortcuts distort judgment across contexts. End with the Policy Nudges challenge to connect theory to actionable skills, reinforcing that behavioral economics is not just about identifying errors but designing solutions.

Successful learning looks like students recognizing biases in their own decisions and explaining how framing or nudges shape behavior. They should analyze experiments to identify patterns in irrational choices and design policy nudges that balance effectiveness with ethical considerations. Debates should reflect nuanced perspectives on rationality and free choice.

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Watch Out for These Misconceptions

• During the Loss Aversion Auction, some students may assume their bids reflect pure logic. Watch for this and ask them to compare their final bid to their starting bid and explain any differences.

  After the Loss Aversion Auction, have students revisit their bidding sheets and highlight where their choices shifted due to framing or peer influence. Ask them to articulate how these shifts reveal loss aversion in their own behavior.

• During Bias Simulations, students might dismiss biases as irrelevant to experts. Watch for comments like 'This wouldn't happen to economists.'

  After Bias Simulations, ask students to share a time they experienced the same bias, even in academic settings. Normalize these experiences by discussing how overconfidence affects even Nobel laureates in economics.

• During the Policy Nudge design challenge, students may argue that nudges remove free choice. Watch for designs that restrict options rather than guide them.

  During the Policy Nudge design challenge, have students present their nudges to peers and defend how they preserve choice. Use a checklist to evaluate whether defaults are opt-out rather than opt-in, ensuring transparency in their designs.

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Methods used in this brief

• Experiential Learning
• Stations Rotation