Lesson Q1 L1 – Learning to Test Ideas: Controlled Experiments
Lesson Overview
Quarter 1 · Unit A: Foundations of Environmental Investigation · Week 1 · AP Environmental Science (Grades 10–12) · Lesson length: 50 minutes
Essential Question: How can we tell whether a change we make actually causes an environmental result?
Lesson Focus: Suppose Phoenix planted street trees in one neighborhood and the next summer that neighborhood was 2 °C cooler. Did the trees do it?
Why It Matters: Every lab, field study, and FRQ 1 (“Design an investigation”) on the AP exam depends on recognizing a fair comparison. This lesson launches the year-long garden investigation in which each team will run its own control-group experiment.
Teacher Note: Keep the urban-tree scenario open and unresolved during Engage; the productive uncertainty is the point. The CED (Topic 5.10) frames urbanization through impervious surfaces and resource use; heat is a natural Phoenix extension of that idea.
Source: Adapted from Seeds of Science, Lesson 1 “Learning to Test Ideas” and Chapter 2. The urban-tree scenario, dog-vitamin thought experiment, DRY MIX tip, and sports-drink assessment are the author’s; the Phoenix framing and AP items are new.
Standards & Learning Targets
Standards Alignment
AP Environmental Science CED (Fall 2026) — Topics & Learning Objectives: Topic 5.10 Impacts of Urbanization (Unit 5: Land and Water Use) — EIN-2.M: Describe the effects of urbanization on the environment.
AP Science Practices / Skills: 4.A (Scientific Experiments) — Identify a testable hypothesis or scientific question for an investigation; 4.B (Scientific Experiments) — Identify a research method, design, and/or measure used; 4.C (Scientific Experiments) — Describe an aspect of a research method, design, and/or measure used
AP Big Ideas: EIN — Interactions Between Different Species and the Environment
Student Learning Targets
Learning Targets — students will be able to
Distinguish an experiment from an observation or demonstration
Identify the independent, dependent, and controlled variables and the control group in an environmental study
Explain why a control group and an adequate sample size make evidence trustworthy
Key Vocabulary
experiment · observation · independent variable · dependent variable · controlled variable · control group · treatment group · sample size · fair test
Materials & Teacher Prep
| Materials Needed | Teacher Prep Checklist |
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Safety: Carry microscopes with two hands; never aim a mirror at the sun; let lamp housings cool. Phoenix heat: normal daily highs are about 105 °F in August, 100 °F in September and 89 °F in October (NOAA 1991–2020). Schedule field work early, use shade and short blocks, require water for everyone, follow school HeatRisk guidance, and stop at the first sign of heat illness. Sun-heated tools, pavement and metal can burn skin. Sources: NSTA, Safety in the Science Classroom (2013); CDC, Heat and Your Health; CDC, Sun Safety; NOAA NCEI 1991–2020 Phoenix normals. See the Safety & Fact-Check Log.
Lesson Flow & Timing
| Engage · 8 min | Explore · 17 min | Explain · 10 min | Elaborate · 8 min | Evaluate · 7 min |
|---|---|---|---|---|
| Urban-tree puzzle + rigged ball drop | Think-Pair-Share: design a vitamin study | Experiments, controls, variables | Restate the garden challenge | Exit ticket + AP item |
Phase 1 · Engage — The Hook
Teacher Talk
Tell students the scenario below is hypothetical, then ask them to picture it happening here in Phoenix.
PCM: Curiosity. “A city plants trees along streets in one neighborhood to reduce heat. The next summer that neighborhood averages 2 °C cooler than the summer before. The city announces a citywide planting program. Before it spends millions, should we accept the conclusion? What is missing?” Give two minutes of silent notebook writing, take a few responses, and do not resolve it yet. Then run the rigged ball drop (drop the pickleball from higher, then slip a notebook under the tennis ball) and let students name what is unfair. Have students jot experiment at the top of their notes; Explain will define it precisely.
Ask Students
“What would you need to see before you believed the trees caused the cooling?” “What did I do that made the ball test unfair?” “Is looking at a leaf under a microscope an experiment? Why or why not?”
PCM Differentiation
Thinker Students: List every factor other than trees that could explain a 2 °C drop (a cooler summer, monsoon timing, new paving). Which would a good study have to hold constant?
Harmonizer Students: Phoenix residents in neighborhoods with few trees often live with the most heat. Why would those families want the city to know for sure that trees work before choosing where to plant?
Phase 2 · Explore — Kagan Cooperative Activity
Cooperative Structure
Kagan structure: Think-Pair-Share. Every student commits to a written design before hearing a partner, so the quieter voices do the thinking too (See the Teaching Reference for the structure’s steps.) Introduce independent variable, dependent variable, controlled variable, control group, and sample size briefly now so the discussion stays precise; the formal definitions come in Explain.
Step-by-Step
- Step 1 — Think alone (3 min): Pose the author’s thought experiment: “A veterinarian wants to know whether a daily vitamin improves the health of dogs. Design an experiment that would give trustworthy evidence.” Each student writes the independent variable, dependent variable, control group, and two controlled variables.
- Step 2 — Pair (4 min): Partners compare designs and agree on one improvement each partner’s design needs.
- Step 3 — Share (6 min): Call on four pairs. Record their independent variables, dependent variables, and controls in a three-column chart.
- Step 4 — Sample-size debrief (4 min): Ask “How many dogs, and why?” Establish that larger samples increase confidence but cost time and money, a trade-off that returns when teams decide how many radishes to plant.
Teacher Moves During Explore
Listen for designs without a comparison group and ask, “Compared with what?”
Push for one independent variable: “If you change the vitamin and the food, what caused the change?”
Note that a medical control group gets a placebo, but a garden control group simply gets no treatment and everything else the same
Phase 3 · Explain — Direct Instruction
Mini-lesson — Experiments, Controls, and Variables. Teacher move: Return to the urban-tree scenario and pull vocabulary out of the student designs; students record the points in their notebooks.
Experiment: a procedure in which a researcher deliberately changes one variable to see its effect on another; without manipulation it is an observation
Independent vs. dependent variable: the independent variable is what we change (street trees present or absent); the dependent variable is what we measure (air or surface temperature); memory tip DRY MIX: Dependent–Responding–Y-axis, Manipulated–Independent–X-axis
Control group: a comparable neighborhood that did not get trees, measured over the same summer with the same instruments; it shows what would have happened anyway
Controlled variables: building density, pavement type, elevation, measurement time of day, and instrument type are kept the same
Why it matters in Phoenix: impervious surfaces such as roads and parking lots change how water and heat move (Topic 5.10), so city decisions need evidence from fair comparisons
Key Message: An experiment changes one thing on purpose and compares the result to a control group that is identical in every other way. Without the control, we cannot claim cause and effect.
Check for Understanding — Ask Students
“What is the independent variable in the urban-tree study?” “Why could the city’s before-and-after comparison mislead them?” “What makes a sample size “big enough”?”
Phase 4 · Elaborate — Student Product & Differentiation
Student Product
Students restate the garden challenge in their notebooks (“With a partner, you will design and run a controlled experiment in two growing cells: one treatment, one control”) and list one variable they are curious about testing, with a sentence explaining why it interests them.
Differentiation
Support (scaffolded entry): Provide a fill-in frame: “If I change ___, I will measure ___, my control group will be ___, and I will keep ___ the same.” Model it once with the urban-tree study.
AP Extension: Redesign the city study as a true experiment with replication: how many neighborhoods, how would you assign trees randomly, and what would you measure at what times of day? Identify one ethical or political constraint on random assignment.
Multilingual Learners: Post a four-column word wall (change / measure / compare / keep the same) with icons; allow notebook answers in the home language with key terms labeled in English.
Phase 5 · Evaluate — Closure, Exit Ticket & Assessment
Exit Ticket
- What is the difference between an experiment and an observation?
- Why is a control group essential?
- A sports drink company surveyed 50 athletes who drink its product and 80% said they felt stronger. Identify two problems with this study and describe a better design.
Answer Key / Look-Fors: (1) An experiment deliberately changes a variable; an observation records what happens without manipulation. (2) It provides a baseline that shows what would happen without the treatment, so a difference can be attributed to the treatment. (3) Problems: no control group, self-report bias, no random assignment, athletes already chose the drink. Better: randomly assign athletes to the drink or a look-alike placebo, measure a performance variable (sprint time), keep training constant, and use a large sample.
AP Exam Practice
(MCQ) A student places three tomato seedlings in a shaded bed and three in a sunny bed and measures their heights after four weeks. Which change would most improve the validity of the conclusion? (A) Measuring the plants every day instead of once (B) Increasing the number of seedlings in each bed and assigning them randomly (C) Using a different plant species in each bed (D) Adding fertilizer to the shaded bed only
Answer & Rationale: (B). Replication and random assignment reduce the effect of individual variation (skill 4.E). (A) adds data but not validity; (C) and (D) introduce a second independent variable.
Expanding Circles
How does this connect to… Self — What is a claim in an ad you saw this week that needs a control group? • Classroom — How will our class keep every garden test a fair test? • School — What school decision (a new schedule, a shade structure) could be tested with a control group? • Community — Why would the City of Phoenix want controlled evidence before planting trees? • World — How do control-group trials improve food security worldwide?
Formative Assessment
Formative Assessment (to sort students, use the restated garden challenge in each notebook, the exit-ticket critique of the sports-drink survey, and the AP item)
Meets (3): Correctly identifies IV, DV, control group, and at least two problems in the sports-drink study and proposes a randomized, controlled redesign.
Approaching (2): Identifies the variables but the redesign lacks a comparable control group or a reasonable sample size.
Not Yet (1): Cannot separate IV from DV; reteach with the ball-drop demo and the DRY MIX chart before Lesson 1.2.
Extend & Looking Ahead
Extension: Students find a product or policy claim online and post the question “Where is the control group?” with a one-sentence critique. Teacher reference: the Chapter 2 sidebar “Is It Really an Experiment?” from Seeds of Science.
Looking Ahead: Lesson 1.2 moves outside: before we can test anything in the garden, we need to know what lives there.
