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Economics · Grade 11

Active learning ideas

The Digital Economy and Big Tech

Active learning works because the digital economy’s concepts—like network effects and data valuation—are best understood through hands-on experience. These activities let students see theory in action, making abstract economic forces tangible and memorable. Engaging directly with the material helps students move beyond passive note-taking to critical analysis of real-world power dynamics.

Ontario Curriculum ExpectationsOntario Curriculum CIE3M: Economic Concepts and Choices, B1.3. describe the key assumptions that economists make when developing theories and models (e.g., the assumption of rational self-interest).Ontario Curriculum CIE3M: Personal Economic Choices, D2. analyse factors that can influence financial decision making.Ontario Curriculum CIE3M: Personal Economic Choices, D2.1. analyse various factors that can influence an individual’s consumer choices (e.g., price, income, tastes and preferences, marketing).
30–50 minPairs → Whole Class4 activities

Activity 01

Simulation Game45 min · Small Groups

Simulation Game: Building Network Effects

Provide groups with cards representing users and platforms. Students add users to competing 'apps,' calculating value multipliers based on simple formulas. Discuss how early leads create dominance. Conclude with a class chart comparing outcomes.

Analyze the economic implications of network effects in digital platforms.

Facilitation TipDuring the Simulation: Building Network Effects activity, circulate to ask groups probing questions about why their user base grew faster in one round than another.

What to look forPose the question: 'Imagine you are launching a new social media app. How would you overcome the network effects that favor established platforms like Facebook or Instagram? What specific strategies would you employ?' Facilitate a class discussion where students share and debate their ideas.

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Activity 02

Case Study Analysis35 min · Pairs

Case Study Analysis: Big Tech Data Analysis

Assign pairs one Big Tech company. They review public reports on data usage and revenue. Identify economic resources and network advantages. Pairs present findings to spark class discussion on market concentration.

Explain how data is a valuable economic resource in the digital age.

Facilitation TipFor the Case Study: Big Tech Data Analysis activity, provide a data dictionary upfront so students focus on interpretation rather than data cleaning.

What to look forProvide students with a short case study of a 'Big Tech' company (e.g., Meta's acquisition of Instagram). Ask them to identify: 1) Evidence of network effects, 2) How data is likely used by the company, and 3) The potential implications for market competition. Collect responses for review.

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Activity 03

Formal Debate50 min · Whole Class

Formal Debate: Regulating Digital Giants

Divide class into teams for and against antitrust measures on Big Tech. Provide evidence packets on network effects and market power. Teams prepare arguments, then debate with peer voting on strongest case.

Critique the market power of 'Big Tech' companies.

Facilitation TipIn the Debate: Regulating Digital Giants activity, assign specific roles to ensure balanced participation and prevent dominant speakers from steering the discussion.

What to look forOn an index card, ask students to define 'data as a resource' in their own words and provide one example of how a company profits from it. Then, have them list one potential economic challenge posed by high market concentration in the digital economy.

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Activity 04

Case Study Analysis30 min · Small Groups

Data Valuation Role-Play

Students role-play as company execs bidding on datasets. Use mock auctions to assign economic value based on criteria like size and usability. Reflect on how data drives decisions in digital markets.

Analyze the economic implications of network effects in digital platforms.

Facilitation TipFor the Data Valuation Role-Play activity, give each group a distinct company scenario so they grapple with different data challenges.

What to look forPose the question: 'Imagine you are launching a new social media app. How would you overcome the network effects that favor established platforms like Facebook or Instagram? What specific strategies would you employ?' Facilitate a class discussion where students share and debate their ideas.

AnalyzeEvaluateCreateDecision-MakingSelf-Management
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A few notes on teaching this unit

Experienced teachers approach this topic by grounding abstract concepts in relatable scenarios, such as comparing a student’s social media experience to a company’s ad revenue strategy. Avoid overloading with technical jargon, as it can obscure the economic reasoning behind digital markets. Research suggests students learn best when they analyze real cases first, then abstract to theory, so case studies should precede conceptual discussions.

Successful learning looks like students confidently explaining how network effects shape markets, evaluating Big Tech’s data strategies, and weighing arguments for regulation. They should connect economic concepts to concrete examples and justify their reasoning with evidence from activities or case studies.


Watch Out for These Misconceptions

  • During the Simulation: Building Network Effects activity, watch for students assuming that more users always lead to better outcomes for everyone.

    Use the debrief to contrast the simulation’s growth phase with its later rounds, where students observe rising prices or reduced choice, then ask them to link this to real-world examples like premium streaming services.

  • During the Data Valuation Role-Play activity, watch for students treating data as a costless byproduct.

    Have groups calculate the hypothetical revenue generated from their assigned data set, using provided ad revenue per user metrics to highlight data’s resource value and investment requirements.

  • During the Debate: Regulating Digital Giants activity, watch for students oversimplifying Big Tech’s market power as absolute monopolies.

    During the debate prep, provide market share data for multiple firms in the same sector, then ask groups to map oligopoly traits like interdependence or barrier to entry before crafting their arguments.


Methods used in this brief