Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping.
What to do if absent- 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.
Week overview - Motion Data: muscle strength, fatigue, and range of motion
Collect muscle strength, fatigue, and range-of-motion data with sensors, and analyze how flexion and extension relate to biomechanics and kinesiology.
- 1Set up the physiology sensor and zero it before collecting any muscle data.
- 2Record a muscle effort over time and watch for the point where fatigue begins.
- 3Measure range of motion at a joint during flexion and extension and log the angles.
- 4Build a simple table comparing your data before and after repeated effort.
- 5Connect one kinesiology taping idea to a joint your data shows is weak or fatigued.
- 6Write a short claim about how fatigue changed your strength or range of motion, supported by your data.
- • You will be able to collect muscle strength or fatigue data with a sensor.
- • You will be able to measure range of motion during flexion and extension.
- • You will be able to make an evidence-based claim about muscle fatigue from your data.
Daily lessons this week
Open any day for its full lesson, the work due that day, and guided notes.
One-paragraph CER taking a position on whether employers should access wearable physiological data from workers.
Labeled prediction sketch of an EMG trace across repeated trials showing fatigue onset, plus a written fatigue-mechanism summary.
Raw data table with trial number, measured value (mV or degrees, with units), time, and fatigue-onset trial clearly marked.
Labeled graph of force or angle versus trial number plus a CER claiming how fatigue affected range of motion, citing specific data values.
Complete motion-data evidence packet: raw data table, labeled graph, fatigue CER, and two-sentence reflection.
Quick intro to the week
- Hook: physical therapists use the same kind of sensors you will today to track how a patient is recovering.
- Today's goal: turn your own muscle effort into data and read what fatigue and range of motion are telling you.
- Monday bioethics tie-in: should schools require fitness testing, and who should be allowed to see those results?
- Reminder: your graded fatigue or ROM data report is submitted in the PLTW course shell.
Your PLTW coursework this week
Do this: Advance the PLTW HBS online benchmark through Unit 1.2 Motion Data.
- • Muscle fatigue is the drop in force a muscle can produce after repeated effort.
- • Range of motion describes how far a joint moves through flexion and extension.
- • Collect muscle strength or fatigue data with a physiology sensor.
- • Measure and interpret range of motion at a joint.
📋 PLTW evidence due this week: your muscle fatigue or range-of-motion data report with an evidence-based claim.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction.
This week's PLTW tracker
Your week at a glance. Check off each deliverable as you finish it, then submit so Mr. Mendoza can see how the class is pacing.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
| Day | Date | Focus | Key deliverable |
|---|---|---|---|
| Monday | Tue, Sep 22 | Bioethics: wearable data privacy | One-paragraph CER taking a position on whether employers should access wearable physiological data from workers. |
| Tuesday | Wed, Sep 23 | Muscle fatigue and EMG basics | Labeled prediction sketch of an EMG trace across repeated trials showing fatigue onset, plus a written fatigue-mechanism summary. |
| Wednesday | Thu, Sep 24 | Sensor and range-of-motion lab | Raw data table with trial number, measured value (mV or degrees, with units), time, and fatigue-onset trial clearly marked. |
| Thursday | Fri, Sep 25 | Kinesiology data analysis | Labeled graph of force or angle versus trial number plus a CER claiming how fatigue affected range of motion, citing specific data values. |
| Friday | Mon, Sep 28 | Submit motion-data evidence | Complete motion-data evidence packet: raw data table, labeled graph, fatigue CER, and two-sentence reflection. |
- M: Philosophy for Kids / John Carroll bioethical debate
- T: teacher background notes + PLTW launch task
- W: lab / data or model work
- Th: analysis / CER or design revision
- F: submit tracker + weekly evidence
Due by week's end: Muscle fatigue or ROM data report.
Lab day — what to bring & watch
This explainer accompanies the PLTW lab protocol — watch it before lab.
What to do when absent
Most days, this class is your PLTW coursework — and PLTW is online and individual. So being out usually just means doing exactly what we did in class, from home.
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.
You can't do those from home — do this instead: Teacher-posted data/model packet, same objective. Supplemental: Khan: joints and movement; Vernier/Logger Pro reference if local.
Class still runs. A substitute will post today's plan — complete the online activity above; it's built to be self-guided. Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy: Joints and MovementVocabulary
Virtual resources
Standards this week
WebXam practice
Drop your Week 5 here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
Upload a project