Bioethics: wearable data privacy
Open your materials, follow the steps, then turn in your work.
Debate whether employers should access workers' wearable motion and fatigue data, then post a CER.
1. Open your materials
Use the materials named in the first step below. Open lesson resources.
2. Start the work
Read the prompt: should a company see the muscle-fatigue data from an employee's fitness wearable?
Show all 5 required steps
- Read the prompt: should a company see the muscle-fatigue data from an employee's fitness wearable?
- List two safety benefits and two privacy harms of employer access.
- Choose a side and write a one-sentence claim with your reasoning.
- Debate in your John Carroll bioethics group and note the strongest counterpoint.
- Post a CER response balancing worker safety and data privacy.
Lost your place? Lost your place? You are debating employer access to wearable data. Make sure you have your two safety benefits and two privacy harms listed, pick a side with a one-sentence claim, then write your CER.
Check your work before submitting
- You can take a position on employer access to wearable data.
- You can balance a safety benefit against a privacy harm.
3. Turn in your work
DueCheck Schoology- Hand in
- One-paragraph CER taking a position on whether employers should access wearable physiological data from workers.
How to submit and name your file
Post to class board and screenshot for your evidence packet.
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.
Choose your Schoology section. Open only one assignment.
Check the section number beside Human Anatomy and Physiology in Schoology.
Assignment: Wk6 CER: Bioethics: wearable data privacy
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How this lesson connects
Keep using what you learned last class: Because a muscle can only pull, controlled movement needs an agonist that contracts and an antagonist that relaxes, so the same pair swaps roles when the movement reverses. Today: Wearables read your body's data outside a clinic, so the rules that would protect that data at a doctor's office often do not apply, leaving privacy and workplace safety in direct tension.
Unit 1 guide: what to keep and use nextOptional: listen or watch a unit review▸
Need help? Warm-up, timing, and directions▸
💡 Big idea: Wearables read your body's data outside a clinic, so the rules that would protect that data at a doctor's office often do not apply, leaving privacy and workplace in direct tension.
- 0-5Intro: what wearable motion sensors actually collect
- 5-20Independent reading and -benefit/privacy-harm list
- 20-40John Carroll bioethics debate
- 40-55Draft claim and evidence
- 55-75Write and post CER
- 75-80Class share: most persuasive vs privacy arguments
- • This week you collect real physiological data using sensors. Before we do that, here is the question the technology raises.
- • Wearable devices can tell an employer exactly when your muscles are fatiguing. Should they be allowed to look?
- • Build your CER around one specific position: either employers should have access with conditions you name, or they should not.
- • The EMG vocabulary in the reading today will show up again Tuesday when we learn what the signal actually measures.
- • Wearable sensors can collect EMG (electromyography), heart rate, and range-of-motion data in real time outside a clinical setting.
- • Personal health information is protected by HIPAA in clinical contexts, but workplace wearables occupy a legal gray zone.
- • The bioethical tension is between using data to prevent injury (employer benefit) and the right not to share your body's data with an employer (worker autonomy).
PLTW connection and today's work
Open Activity 1.2.4 Mind Over Muscle (Lesson 1.2 Muscles and Motion) in myPLTW and complete its introductory sensor task; use one fact about what wearable muscle sensors record in your wearable-data-privacy CER.
Today's stopping point: You finished muscle-anatomy content last week; this week focuses on motion data within Lesson 1.2, and the task should be checked off today.
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 1.2.4 Mind Over Muscle
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
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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.
Because a muscle can only pull, controlled movement needs an agonist that contracts and an antagonist that relaxes, so the same pair swaps roles when the movement reverses.
Wearables read your body's data outside a clinic, so the rules that would protect that data at a doctor's office often do not apply, leaving privacy and workplace in direct tension.
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: Should a warehouse or factory be allowed to read the muscle-fatigue readings off a worker's fitness wearable to decide when that worker is 'too tired' to keep going?
What you already know: Because a muscle can only pull, controlled movement needs an agonist that contracts and an antagonist that relaxes, so the same pair swaps roles when the movement reverses.
New idea: Wearables read your body's data outside a clinic, so the rules that would protect that data at a doctor's office often do not apply, leaving privacy and workplace in direct tension.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Bioethics: wearable data privacy. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled structure, movement, or system relationship that connects form to function.
- Observe or measure the relevant feature in today's lesson.
- 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: Should a warehouse or factory be allowed to read the muscle-fatigue readings off a worker's fitness wearable to decide when that worker is 'too tired' to keep going?
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 full distance and direction a can move, measured in degrees from its fully bent to its fully straightened position.
- • : Bending a so the angle between two body parts decreases, such as curling the forearm toward the shoulder.
- • extension: A movement that increases the angle of a and straightens a body part, such as opening the arm to straighten the elbow.
- • fatigue: A state of physical or mental tiredness in which muscles or the body produce less force or focus and need rest to recover.
- • goniometer: Use the lesson context and glossary entry to explain goniometer in your own words.
- • biomechanics: The study of how forces, motion, and structure act on living bodies, applying physics to muscles, bones, and joints.
- • : The scientific study of human movement, including how muscles, bones, and the nervous system work together to produce motion.
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 take a position on employer access to wearable 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-HAP-2027-02-25 · Simulated classroom evidence scenario
Your role: anatomy and physiology consultant
Decision: Your team must decide what the evidence from today's lesson supports before submitting the claim-evidence-reasoning response named on today's page.
- • Let the employer read the fatigue data, since it is collected to keep the worker safe.
- • Find out whether a worker can refuse and who else sees the readings before deciding this.
- • Weigh the injury the data prevents against the hours or job the same reading could cost.
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 today's lesson. 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 today's lesson supports before submitting the claim-evidence-reasoning response named on today's page.
Context: Physiological data is deeply personal, so whether it protects you or exposes you depends entirely on who controls it and why they want it.
- • T1: Read the prompt: should a company see the muscle-fatigue data from an employee's fitness wearable?
- • T2: List two benefits and two privacy harms of employer access.
- • T3: Choose a side and write a one-sentence claim with your reasoning.
- • T4: Debate in your John Carroll bioethics group and note the strongest counterpoint.
- • T5: Post a CER response balancing worker and data privacy.
- • 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 take a position on employer access to wearable 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 Bioethics: wearable data privacy. Trace the labeled structure, movement, or system relationship that connects form to function. 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.
Students often think Students assume that if data is collected to keep someone safe, sharing it with an employer must be fine.. The trap: Good intentions do not erase the privacy cost, because the same fatigue reading that prevents an injury can also be used to cut hours, deny a raise, or push someone out, and the worker rarely gets to say no.
Claim: A school should not require students to wear a district-issued fitness tracker in gym class and share their step and heart-rate data unless students and families give clear, informed, and revocable consent.\nEvidence: A fitness tracker records heart rate, step counts, and activity levels continuously, which together can reveal a student's fitness level and even signs of a health condition. Under FERPA, a school must protect student education records, but data streamed from a personal-style wearable falls into an unsettled area where those protections are not clearly applied.\nReasoning: Tracker data could support a real benefit, such as helping a PE teacher set fair activity goals or notice a student who is struggling. Requiring the device without consent, though, creates a real privacy harm and a risk of misuse, such as tying a grade to a body metric or sharing the data beyond the gym. Because the student carries the privacy cost while the school gains the data, consent should stay with the student and family, and any health goals can be supported through voluntary opt-in use.\nCounter-argument I heard and my response: A classmate argued that a required tracker would make grading more objective and keep everyone active. I agree that fairness and activity matter, which is why a fair system can make the tracker optional, grade on effort rather than raw numbers, and use only aggregate class data, protecting both the learning goal and each student's privacy.
This model shows the level of evidence and organization needed to complete: A parallel-model claim-evidence-reasoning post that shows the CER format and depth on a different consent-and-body-data case, so it guides students without answering today's own prompt.
- 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: Post to the class board and screenshot for your evidence packet.
- 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 Bioethics: wearable data privacy. 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.
Hand-picked readings, videos, and interactives for this lesson, all free and from authoritative open organizations (NIH, CDC, OpenStax, Khan Academy, PhET, HHMI, and more).
A fillable, Cornell-style notebook for Unit 1: Road to Rehabilitation. Type your notes, cues, and summaries right in the PDF, or print it and write by hand. Each lesson page has a cue column, a notes column, and a summary box, plus dated lab-record pages you can turn in.
HBS Unit 1 notebook: Road to Rehabilitation Fillable PDFCornell notes + lab recordsOpenVetted readings and references for this unit. Use them to prepare, to catch up if you were absent, or to go deeper on today's target.
Practice: try a question, then check your answer▸
Claim ceiling for this check: Today's evidence supports a classroom claim about today's lesson. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Why do workplace wearables sit in a 'legal gray zone' when the same heart-rate data at a doctor's office is strictly protected?
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.
Read the linked overview on personal health records, then post a written CER on whether employers should access wearable fatigue data, citing one fact from the resource.
MedlinePlus: Personal health recordsPost to class board and screenshot for your evidence packet.
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: Joints and Movement- 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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