Submit motion-data evidence
Submit the motion-data evidence set and update your tracker.
Complete motion-data evidence packet: raw data table, labeled graph, fatigue CER, and two-sentence reflection.
- 1Do thisSubmit the motion-data evidence set and update your tracker.
- 2Use this resource
- 3Submit thisTracker entry: Complete motion-data evidence packet: raw data table, labeled graph, fatigue CER, and two-sentence reflection.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Human Anatomy & Physiology (Human Body Systems) › Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. › Tracker entryOpen 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 — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: Motion-data collection, graphing, and CER writing together constitute the scientific method applied to human physiology, a skill used in kinesiology, physical therapy, and sports medicine.
- 0-8Intro: evidence-packet checklist for a data unit
- 8-30Gather and check all three artifacts (units, labels, trial numbers)
- 30-50Rubric self-check; fix any gaps
- 50-65Update weekly tracker
- 65-75Write two-sentence reflection: what the fatigue data revealed
- 75-80Submit packet
- • Three artifacts: raw data table, labeled graph, and your fatigue CER. All three go in today.
- • Check your data table: does every row have units? Check your graph: are axes labeled with units? Check your CER: does it cite a specific trial number?
- • Your reflection should be direct. What did your data actually show, and what does that tell you about how muscles respond to sustained work?
- • Next week we shift to rehabilitation and patient care.
- 1Gather your data table, graph, and fatigue CER.
- 2Check each against the evidence rubric for units and labels.
- 3Update the weekly tracker with completed tasks.
- 4Write a two-sentence reflection on what the data revealed about fatigue.
- 5Submit the motion-data evidence packet for the weekly summative.
- • You can assemble a complete motion-data evidence packet.
- • You can reflect on the meaning of your fatigue data.
- • An evidence packet for a data unit requires: raw data table (with units), labeled graph, and data-supported CER.
- • Reflection should connect the observed fatigue pattern to the muscle physiology mechanisms studied Tuesday (ATP depletion, motor unit recruitment).
- • Data-analysis skills (graphing, trend identification, evidence-based writing) are assessed in the Evaluate Body Systems emphasis of the WebXam.
Your PLTW work today
Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. · Submit motion-data evidence
Day 5 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Confirm all Lesson 1.2 Muscles and Motion tasks for this week are checked off in myPLTW before packaging your motion-data evidence.
All tasks show complete status; screenshot included in your evidence packet.
By today every task from Mon to Thu this week inside Lesson 1.2 should be checked off.
myPLTW completion screenshot inside the submitted packet.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
Check things off as you work, then submit. This tells Mr. Mendoza how you're doing so he can help the class. It does not replace turning in your producible on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. · Submit motion-data evidence
Confirm all Lesson 1.2 Muscles and Motion tasks for this week are checked off in myPLTW before packaging your motion-data evidence.
By today every task from Mon to Thu this week inside Lesson 1.2 should be checked off.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Submit the motion-data evidence set and update your tracker.
- Gather your data table, graph, and fatigue CER.
- Check each against the evidence rubric for units and labels.
- Update the weekly tracker with completed tasks.
- Write a two-sentence reflection on what the data revealed about fatigue.
- Submit the motion-data evidence packet for the weekly summative.
Tracker entry: Complete motion-data evidence packet: raw data table, labeled graph, fatigue CER, and two-sentence reflection.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Gather your data table, graph, and fatigue CER. | _______ |
| Check each against the evidence rubric for units and labels. | _______ |
| Update the weekly tracker with completed tasks. | _______ |
| Write a two-sentence reflection on what the data revealed about fatigue. | _______ |
| Submit the motion-data evidence packet for the weekly summative. | _______ |
Working solo? Put your own name in "Who" for every row.
- You can assemble a complete motion-data evidence packet.
- You can reflect on the meaning of your fatigue data.
Resources & readings
Vetted 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.
Lab & supplies
This unit's vocabulary
Tap the speaker to hear a term. Weekly vocabulary task: add two of these terms to your notebook glossary with a definition and an example in your own words.
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
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.
What to do if you were absent
Today is individual PLTW work, so do exactly what we did in class, from home: complete the same PLTW target above, then submit your Tracker entry.
Open Schoology (CMSD) and keep goingHow to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
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.
- SubmittedTurned in the right way (Schoology for routine work) and confirmed.
Drop your Mon, Sep 28, 2026 · Submit motion-data evidence here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
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