Glucose data CER analysis
Open your materials, follow the steps, then turn in your work.
Analyze blood-glucose data and write a CER explaining how feedback maintains homeostasis.
1. Open your materials
Use the materials named in the first step below. Open lesson resources.
2. Start the work
Examine a graph of blood glucose before and after a meal.
Show all 5 required steps
- Examine a graph of blood glucose before and after a meal.
- Identify where insulin and glucagon are most active.
- Write a claim about how the body restores normal glucose.
- Cite two specific data points as evidence.
- Add reasoning that connects evidence to negative feedback.
Lost your place? Picking up midway? Confirm you have found where insulin and glucagon are most active on the graph, then finish the CER: write the claim, cite two specific data points with values and times, and add reasoning that ties those points to negative feedback.
Check your work before submitting
- CER includes a claim, two evidence points, and reasoning.
- Reasoning correctly names negative feedback.
3. Turn in your work
DueCheck Schoology- Hand in
- Written CER analyzing blood-glucose graph data: claim about homeostasis restoration, two specific data-point evidence entries, reasoning naming negative feedback.
How to submit and name your file
Use the submission route shown on today's 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.
Choose your Schoology section. Open only one assignment.
Check the section number beside Human Anatomy and Physiology in Schoology.
Assignment: Wk12 CER: Glucose data CER analysis
Link will not open? Open Schoology, choose your section, and find the assignment title above.
How this lesson connects
Keep using what you learned last class: Negative feedback holds a variable near its set point because the body senses a deviation and triggers a response in the opposite direction, so that any push away is met by a correction back. Today: A glucose graph reveals whether homeostasis is intact because specific values over time show the feedback loop correcting the deviation, so that a curve that never returns to baseline points to exactly where the loop failed.
Unit 2 guide: what to keep and use nextOptional: listen or watch a unit review▸
Need help? Warm-up, timing, and directions▸
💡 Big idea: A glucose graph reveals whether is intact because specific values over time show the correcting the deviation, so that a curve that never returns to baseline points to exactly where the loop failed.
- 0-8Distribute and preview the blood-glucose graph; orient axes and units
- 8-22Guided annotation: mark meal, peak, active zone, zone
- 22-40Draft CER: write claim, select two data-point evidence entries, draft reasoning paragraph
- 40-58 CER: check that evidence includes specific values and reasoning names
- 58-70Revise CER based on peer feedback
- 70-80Final submission and individual reflection on diabetes connection
- • A graph of after a meal tells a story about hormones working in real time.
- • Today you will read that story scientifically using the CER format.
- • CER writing is a core skill for the Human Body Form, Function, and Pathophysiology domain of the 072040 WebXam.
- • You will identify the peak, the correction, and the hormones responsible for each.
- • A CER (Claim-Evidence-Reasoning) is the standard format for communicating scientific conclusions.
- • Evidence from a graph must include specific values and time points, not vague descriptions.
- • Pathophysiology of diabetes (Type 1 and Type 2) reflects breakdown of the .
PLTW connection and today's work
Complete any data-analysis or CER reflection prompt in Activity 2.2.1 The Endocrine System (Lesson 2.2 Everything Endocrine) on myPLTW associated with today's blood-glucose graph task; finish it before peer review.
Today's stopping point: Feedback-model task is done; today the data-analysis task should show complete and your CER should be submitted.
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 2.2.1 The Endocrine System
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.
holds a variable near its set point because the body senses a deviation and triggers a response in the opposite direction, so that any push away is met by a correction back.
A glucose graph reveals whether is intact because specific values over time show the correcting the deviation, so that a curve that never returns to baseline points to exactly where the loop failed.
A thermostat compares a room reading with a set point and changes the heater.
- What is measured?
- What is the target?
- What response reduces the difference?
detects a change and produces a response that reduces that change.
Body systems use many interacting signals and delays, not one simple thermostat wire.
- • Room reading maps to the measured variable.
- • Set point maps to the regulated range.
- • Heater response maps to an response.
Driving question: Two people eat the same meal; one's glucose returns to baseline in two hours and the other's stays high for six. What does each curve tell you about their ?
What you already know: holds a variable near its set point because the body senses a deviation and triggers a response in the opposite direction, so that any push away is met by a correction back.
New idea: A glucose graph reveals whether is intact because specific values over time show the correcting the deviation, so that a curve that never returns to baseline points to exactly where the loop failed.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Glucose data CER analysis. 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 glucose data CER analysis.
- Organize the observation with a stable evidence ID.
- Apply this rule: detects a change and produces a response that reduces that change.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: Two people eat the same meal; one's glucose returns to baseline in two hours and the other's stays high for six. What does each curve tell you about their ?
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.
- • : A chemical messenger made by glands and carried in the blood to distant organs, where it controls processes like growth, , and mood.
- • : An organ that releases hormones directly into the bloodstream to control distant body processes such as growth and .
- • : A control cycle in which the output of a process feeds back to adjust that same process, helping the body keep conditions stable.
- • : A made by the pancreas that lowers blood sugar by signaling cells to take in glucose from the blood.
- • : A made by the pancreas that raises blood sugar by signaling the liver to release stored glucose when levels drop.
- • : The body's ongoing process of keeping internal conditions like temperature, blood sugar, and pH steady despite changes in the outside environment.
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.
is dynamic regulation: sensors, control processes, and effectors use feedback to keep selected physiological variables within ranges that support cell and organ function.
Limit: A single feedback diagram simplifies interacting set ranges, delays, feedforward signals, local controls, and differences among individuals.
detects a change and produces a response that reduces that change.
Limit: Body systems use many interacting signals and delays, not one simple thermostat wire.
CER includes a claim, two evidence points, and reasoning.
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-2027-04-05 · Simulated classroom evidence scenario
Your role: anatomy and physiology consultant
Decision: Your team must decide what the evidence from glucose data CER analysis supports before submitting the claim-evidence-reasoning response named on today's page.
- • State that glucose went up and then came back down, which describes the graph and counts as evidence.
- • Wait for measurements from both people, since a glucose curve alone cannot show which part of the loop failed.
- • Write evidence as exact values with time points, so a reader can check the six-hour curve against baseline.
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 glucose data CER analysis. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Rate or percent = part / comparison total x 100%. Percent change = (new - comparison) / comparison x 100%.
If 18 of 60 records meet a condition, the frequency is 18 / 60 x 100% = 30%.
Name the comparison total. A percent describes the supplied group and does not automatically predict an individual's outcome.
Use today's supplied counts to calculate one rate, risk, frequency, or percent change. Show the denominator and interpretation.
Students often think Students write evidence as a vague description, like 'the glucose went up and then came down,' and think that counts.. The trap: Vague evidence is not evidence. A CER needs specific numbers and time points ('glucose fell from 160 to 95 mg/dL by the two-hour mark') because a reader cannot check or trust 'it went up then down.' Skip the values and your claim rests on nothing.
Claim: After a hard run, the body restored normal core temperature through negative feedback.\n\nEvidence: At 0 minutes (just before running) core temperature was about 37.0 degrees Celsius. At 20 minutes it peaked at about 38.6 degrees Celsius, and by 60 minutes it had returned to about 37.1 degrees Celsius.\n\nReasoning: The rise at 20 minutes was detected by the hypothalamus, which triggered sweating and widening of skin blood vessels to release heat. Because the response (cooling the body) opposed the change that triggered it (the rise in temperature), this is negative feedback, and that is why the value came back down near the starting set point of about 37.0 degrees Celsius by 60 minutes.
This model shows the level of evidence and organization needed to complete: A Claim-Evidence-Reasoning paragraph analyzing a body-temperature graph: a claim about how homeostasis is restored, two specific data-point evidence entries, and reasoning that names negative feedback.
- 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: Submit your CER on Schoology.
- 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 Glucose data CER analysis. 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 2: Research Ready. 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 2 notebook: Research Ready 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 glucose data CER analysis. It cannot prove causation, diagnose a real patient, or justify action outside this room.
A graph shows glucose at 160 mg/dL at 15 minutes and 95 mg/dL at 90 minutes after a meal. Write a one-sentence evidence statement that would hold up in a CER.
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.
Today is individual work you can do from home: complete the same target above, then submit your CER.
Go 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.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
MedlinePlus: Endocrine DiseasesYou've passed Unit 2, so the optional extra-credit track is open. Complete reserved-unit work from home, including virtual labs, for extra credit. Each item shows its correct submission route.
Open the extra-credit track- 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.
This week
My Progress dashboard