Data-ethics debate
Open your materials, follow the steps, then turn in your work.
Debate the ethics of collecting and storing human physiological data.
1. Open your materials
Use the materials named in the first step below. Open lesson resources.
2. Start the work
Prepare two questions about consent and physiological data collection.
Show all 5 required steps
- Prepare two questions about consent and physiological data collection.
- Draft a CER position on an ethical limit for biometric data use.
- Debate with peers and record a counterargument.
- Connect the ethics to your own Problem 2 data plan.
- Submit two questions, one CER contribution, and a reflection.
Lost your place? Lost your place? You should have two questions about consent drafted (step 1) and a CER position on one ethical limit (step 2). Pick up at the peer debate (step 3): write down one counterargument you hear, then connect it to your Problem 2 data plan (step 4).
Check your work before submitting
- You can argue an ethical position on physiological data.
- You can relate consent norms to your own study plan.
3. Turn in your work
DueCheck Schoology- Hand in
- CER contribution arguing an ethical limit for physiological data collection and storage, plus two questions and a reflection connecting the argument to the Wednesday lab plan.
How to submit and name your file
Use the submission route shown on today's page.
In Schoology, open your course and the assignment for this lesson. Attach your file, select Submit, and check that it appears in the submission.
PDF upload helpYou get two school days for every day you were absent, so this deadline moves with you.
How this lesson connects
Keep using what you learned last class: Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data. Today: Human physiological data can expose and harm a real person, so consent, data minimization, and storage limits exist to protect that person rather than to satisfy bureaucracy.
Optional: listen or watch a unit review▸
Need help? Warm-up, timing, and directions▸
💡 Big idea: Human physiological data can expose and harm a real person, so consent, data minimization, and storage limits exist to protect that person rather than to satisfy bureaucracy.
- 0-10Frame the debate: what does consent mean in a classroom physiology study?
- 10-25Debate prep: write two questions and draft your CER position on an ethical limit for biometric data use
- 25-55Structured debate: argue positions and record a counterargument
- 55-65Connect to your data plan: how does today's argument constrain how you will collect data Wednesday?
- 65-77Submit two questions, CER contribution, and reflection
- 77-80Pre-lab preview: review Wednesday's sensor protocol and note any questions
- • This week you will collect physiological data. Before you do, you need to think carefully about the ethics of doing so.
- • Biometric data -- heart rate, , skin response -- is personal. Who gets to collect it, and what happens to it afterward?
- • Today you debate an ethical limit and connect your argument to the plan you will execute in the lab on Wednesday.
- • Data ethics is woven into the Molecular and Genetic Technology strand on WebXam 072125.
- • What requires and why it applies to student physiology investigations.
- • How to argue a position on an ethical limit for biometric data collection using CER.
- • How the data-ethics debate connects to your own Problem 2 plan.
PLTW connection and today's work
Open Problem 2 Exploring Human Physiology in your myPLTW course shell and locate the data-ethics debate or discussion activity to review the CER prompt.
Today's stopping point: The Problem 2 research design ticket is done; by end of today the biometric-data ethics CER should be submitted and your pre-lab data table ready for Wednesday.
PLTW activity titles identify the course connection. If your account will not open, use the posted materials for today and tell Mr. Mendoza. Do not mark an online activity complete unless you completed it.
Course connection
- Activity 2.1.2 Science and the Media
Use the turn-in directions at the top of this page. Do not create a second submission unless your teacher asks for one.
Show another explanation or a smaller first step
Need help? Choose a starting point
Lesson resources: reading, slides, and vocabulary▸
The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.
Generated from this lesson's canonical data with a red-team citation check.
Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
Human physiological data can expose and harm a real person, so consent, data minimization, and storage limits exist to protect that person rather than to satisfy bureaucracy.
A review board sorts scientific evidence, stakeholder needs, possible benefits, possible burdens, and uncertainty before choosing a policy.
- Which statements are scientific evidence?
- Which statements express a value or priority?
- Who receives the benefit and who carries the burden?
Use science to estimate consequences, then state the value judgment and tradeoff that determine the decision.
A review-board model organizes reasoning but does not make one ethical principle automatically outweigh every other principle.
- • Evidence cards map to source-backed findings.
- • Stakeholder cards map to affected people and priorities.
- • The recommendation maps to an explicit tradeoff with a named uncertainty.
Driving question: Before your class straps a heart-rate or skin-response sensor to a classmate for Problem 2, where exactly should the line be on what you are allowed to collect, keep, and share?
What you already know: Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
New idea: Human physiological data can expose and harm a real person, so consent, data minimization, and storage limits exist to protect that person rather than to satisfy bureaucracy.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Data-ethics debate. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled system, test, or design relationship and identify which evidence should trigger revision.
- Observe or measure the relevant feature in data-ethics debate.
- Organize the observation with a stable evidence ID.
- Apply this rule: Use science to estimate consequences, then state the value judgment and tradeoff that determine the decision.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: Before your class straps a heart-rate or skin-response sensor to a classmate for Problem 2, where exactly should the line be on what you are allowed to collect, keep, and share?
What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.
What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.
- • : The body's ongoing process of keeping internal conditions like temperature, blood sugar, and pH steady despite changes in the outside environment.
- • physiology: The study of how the body's parts function and work together to keep an organism alive and healthy.
- • biometrics: Measurements of unique body features, such as fingerprints, faces, or eye patterns, used to identify a specific person.
- • mean: The average of a set of numbers, found by adding all the values together and dividing by how many values there are.
- • : A number that measures how spread out data values are around the mean; a small value means values cluster tightly, a large value means they scatter.
Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.
Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.
A defensible biomedical decision separates scientific evidence from value judgments, identifies who may benefit or be burdened, and states the uncertainty and tradeoffs that remain.
Limit: Scientific evidence can inform the options and likely consequences, but it cannot choose a single value-neutral answer.
Use science to estimate consequences, then state the value judgment and tradeoff that determine the decision.
Limit: A review-board model organizes reasoning but does not make one ethical principle automatically outweigh every other principle.
You can argue an ethical position on physiological data.
Limit: E3 defines the classroom product or success criterion. It is not independent scientific evidence and cannot justify a clinical or causal claim.
PLTW-BFH-2027-03-03 · Simulated classroom evidence scenario
Your role: biomedical design team member
Decision: Your team must decide what the evidence from data-ethics debate supports before submitting the claim-evidence-reasoning response named on today's page.
- • Pause the sensor plan until you check whether heart-rate timing patterns could be traced back to one classmate.
- • Get consent, collect only the readings your question needs, and set a date when you delete the data.
- • Skip the consent step for classmate sensor data, since no names are attached and nothing can point back.
Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the claim-evidence-reasoning response.
Claim ceiling: Today's evidence supports a classroom claim about data-ethics debate. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Reason for review: Your team must decide what the evidence from data-ethics debate supports before submitting the claim-evidence-reasoning response named on today's page.
Context: Data from a human body is never just numbers, so consent, minimizing what you collect, and limiting how long you keep it are protections for a real person, not paperwork.
- • T1: Prepare two questions about consent and physiological data collection.
- • T2: Draft a CER position on an ethical limit for biometric data use.
- • T3: Debate with peers and record a counterargument.
- • T4: Connect the ethics to your own Problem 2 data plan.
- • T5: Submit two questions, one CER contribution, and a reflection.
- • E1: A defensible biomedical decision separates scientific evidence from value judgments, identifies who may benefit or be burdened, and states the uncertainty and tradeoffs that remain.
- • E2: Use science to estimate consequences, then state the value judgment and tradeoff that determine the decision.
- • E3: You can argue an ethical position on physiological data.
Measurements: Use only the measurements, units, graph, or counts supplied in today's task. No additional patient measurement is implied.
Figure finding: Teaching diagram for Data-ethics debate. Trace the labeled system, test, or design relationship and identify which evidence should trigger revision. This is a teaching model, not patient or experimental data.
Uncertainty: This is a composite classroom scenario. Missing history, measurements, or confirmation tests remain unknown and limit the conclusion.
Mean = sum of values / number of values. Median = middle ordered value. Range = maximum - minimum.
For 2, 4, 4, and 10: mean = 20 / 4 = 5, median = 4, and range = 10 - 2 = 8.
Mean, median, and range keep the measurement unit. Order the values before finding the median.
Calculate the requested summary for today's supplied values, then write what it reveals and what it hides.
- • The solution must address the stated need in data-ethics debate.
- • The decision must be supported by E1-E3.
- • The final product must make the success criteria visible.
- • Complete the work inside the 80-minute block.
- • Use only supplied or teacher-approved materials and evidence.
- • Do not trade , accessibility, or privacy for speed.
- • and evidence quality: must pass before scoring other criteria.
- • User need and effectiveness: highest scored criterion.
- • Time, cost, and ease of use: compare only after and effectiveness pass.
Test evidence: For each option, record the E1-E3 result that supports or fails each criterion. Do not assign a score without a named observation.
- Version or option tested
- Criterion met or missed
- Evidence ID and result
- Revision made
- Reason for the revision
- Need and user
- Criteria and constraints
- Chosen option and evidence
- Test result
- Revision and reason
Students often think Students assume that if data is anonymous or has no name attached, there is no consent problem and nothing to protect.. The trap: Anonymous data is not automatically safe, because heart-rate patterns, skin response, and timing can often be linked back to one person when combined, so consent is about what the data can reveal, not just whether a name is stapled to it.
Worked CER on a parallel case (model only, different scenario)
This models the CER format for a DIFFERENT study so you can copy the structure, not the answer. Here the team runs a two-week fitness-tracker study that logs each volunteer's daily step count, and the ethical question is about sharing that data with an outside app, not about today's sensor plan.
Claim: A student step-count study should not share raw, name-linked activity data with any outside fitness app, and should share only aggregated, de-identified results (for example, the class average per day).
Evidence: Privacy standards for personal health information, such as informed-consent and purpose-limitation principles, say that data collected for one stated purpose should not be handed to a third party for a different purpose without fresh consent. Many free fitness apps also reserve the right to reuse uploaded data for advertising or resale.
Reasoning: A daily step log tied to a name can reveal patterns about a person's routine, health, and location over time. Sending that raw log to an outside app exposes volunteers to uses they never agreed to and that the study does not need. Sharing only an aggregated class average still lets the team report a result while keeping any single volunteer unidentifiable, so the benefit is kept and the risk is removed.
Link to my data plan: I will store step counts under codes (Volunteer 1, Volunteer 2), keep the code-to-name key on a separate sheet that only I hold, report results as group averages, and upload nothing to any external app.
Two questions:
1. Does a volunteer have the right to withdraw their data after the two weeks are over, and how would I remove it cleanly?
2. If a partner team asks for our raw numbers to combine with theirs, what would make that transfer acceptable?
Reflection: A teammate argued that uploading to a real fitness app would make our charts look more professional. I understand the appeal, but I think the volunteers only agreed to a class study, so reusing their data elsewhere would break that agreement. Aggregating first is what keeps the study honest.
This model shows the level of evidence and organization needed to complete: A parallel-case claim-evidence-reasoning argument that models the CER format and depth on a different physiological-data scenario (a fitness-tracker step-count study), with a link to a data plan, two questions, and a reflection, so students can mirror the structure without seeing today's answer.
- Write one defensible claim.
- Choose specific evidence that supports the claim.
- Explain the scientific rule that connects the evidence to the claim.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Reply to one classmate and submit your questions, CER, and reflection on Schoology by end of period.
- CER:
- Claim, Evidence, Reasoning: make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure, the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities. Find it in Clever with your Microsoft sign-in, right next to Schoology.
Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.
Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Data-ethics debate. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.
Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.
Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology, research design. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology, research design. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Human physiology data and research design by path:Biomedical-Innovations/Problem-2_Human-Physiology/00_Problem-Overview; keywords:physiology, research design. Score 138. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Sign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.
Practice: try a question, then check your answer▸
Claim ceiling for this check: Today's evidence supports a classroom claim about data-ethics debate. It cannot prove causation, diagnose a real patient, or justify action outside this room.
A group wants to record classmates' heart rates during a stressful quiz and keep the raw files 'in case we need them later.' Name the two ethics rules this most likely breaks and why.
Write an answer and pick a confidence to unlock the key.
Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.
Missed class or ready for more?▸
Run this before you touch the bench. It is built from the real lab procedure, so the decisions you make here are the ones you will make with the equipment in your hands.
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
Post a written CER contribution on an ethical limit for collecting and storing human physiological data, then reply to one classmate.
Use the submission route shown on today's page.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy Statistics and Probability- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedGo to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
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