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Geography · 11th Grade

Active learning ideas

Electoral Geography and Redistricting

Active learning works for electoral geography because students need to see how abstract concepts like 'compactness' or 'cracking' translate into real-world consequences on maps they can touch and debate. When students physically draw districts or analyze maps, they connect spatial decisions to lived experiences of representation and power.

Common Core State StandardsC3: D2.Civ.6.9-12
30–70 minPairs → Whole Class4 activities

Activity 01

Problem-Based Learning70 min · Small Groups

Redistricting Simulation: Draw Your Own District

Using a simplified map of a fictional state with population and voting data, small groups each draw district maps according to different criteria: maximum compactness, majority-minority representation, competitive districts, and incumbent protection. Groups present their maps and explain the geographic trade-offs each approach creates.

Explain how geographic factors influence voting patterns in a region.

Facilitation TipDuring Redistricting Simulation, circulate with colored pencils or digital mapping tools to help students visualize trade-offs between compactness and competitive districts.

What to look forPresent students with two maps of the same hypothetical state: one drawn with a focus on compactness and contiguity, and another drawn using packing and cracking. Ask: 'Which map better reflects the principle of 'one person, one vote' and why? What are the potential consequences of each map for voter engagement and political accountability?'

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Activity 02

Problem-Based Learning45 min · Small Groups

Map Analysis: Packing and Cracking

Provide students with before-and-after redistricting maps from a real US state. Groups identify examples of packing (concentrating opposing voters) and cracking (splitting a voting bloc) and calculate how each technique affects the likely party outcome for each district.

Analyze the impact of gerrymandering on democratic representation.

Facilitation TipFor Map Analysis, ask students to measure district shapes with rulers or digital tools to quantify 'compactness' before labeling packing and cracking.

What to look forProvide students with a simplified US state map and a set of demographic data for different counties. Ask them to identify two counties that might be 'packed' and two that might be 'cracked' by a hypothetical partisan redistricting effort, and to briefly explain their reasoning.

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Activity 03

Think-Pair-Share30 min · Pairs

Think-Pair-Share: Urban-Rural Voting Divide

Students receive maps showing county-level voting patterns alongside maps of population density, median income, and educational attainment. Pairs identify which geographic variables most closely correlate with voting patterns in their region and share hypotheses about the causal mechanisms.

Design a fair redistricting plan for a hypothetical electoral district.

Facilitation TipIn Think-Pair-Share, assign specific roles (e.g., data analyst, map drawer) to prevent vague discussions and push students to use precise language.

What to look forOn an index card, have students define 'gerrymandering' in their own words and name one specific technique used in gerrymandering. Then, ask them to list one geographic feature or principle (e.g., river, county line, compactness) that could be used to argue *against* a gerrymandered district.

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Activity 04

Socratic Seminar50 min · Whole Class

Socratic Seminar: What Makes a Fair District?

Students read short excerpts from the Supreme Court's majority and dissenting opinions in Rucho v. Common Cause (2019). The seminar explores whether geographic criteria can produce a politically neutral standard for redistricting and what role courts should play in policing geographic manipulation.

Explain how geographic factors influence voting patterns in a region.

Facilitation TipIn Socratic Seminar, assign a student to track recurring arguments in a visible T-chart so the group can see patterns of reasoning emerge.

What to look forPresent students with two maps of the same hypothetical state: one drawn with a focus on compactness and contiguity, and another drawn using packing and cracking. Ask: 'Which map better reflects the principle of 'one person, one vote' and why? What are the potential consequences of each map for voter engagement and political accountability?'

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Templates

Templates that pair with these Geography activities

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A few notes on teaching this unit

Experienced teachers treat electoral geography as a lab for civic reasoning, not just a civics topic. They avoid lectures on definitions—instead, they build activities where students confront trade-offs directly. Research shows that students grasp gerrymandering best when they experience the tension between fairness criteria (compactness, competitiveness) and real political goals, so guide them to document their own assumptions as they draw maps.

Successful learning looks like students using geographic data to justify district boundaries, identifying gerrymandering techniques in real maps, and explaining how redistricting affects voter choice and political accountability. They should move from naming terms to analyzing consequences with evidence.


Watch Out for These Misconceptions

  • During Redistricting Simulation, watch for students who assume gerrymandering only affects losing parties.

    As students draw their own districts, pause the class to compare turnout data in competitive vs. non-competitive districts they’ve created. Ask: 'If your party wins easily in 8 out of 10 districts, what happens to voter turnout in the other two?'

  • During Redistricting Simulation, watch for students who assume geographic compactness is always a neutral standard.

    Give students a map with a densely populated urban area and rural areas. Ask them to draw compact districts, then tally how many minority voters are 'packed' into single districts. Have them reflect: 'Can a purely compact map still dilute minority votes?'

  • During Redistricting Simulation, watch for students who assume computers can draw perfectly neutral districts.

    After students draft their own districts, introduce a simple algorithm (e.g., 'max compactness') and ask: 'Whose values are built into this tool? What happens if we prioritize competitiveness instead?' Have them revise their maps with the new criteria.


Methods used in this brief