My Class
Instructional system

Data-Driven Instruction Plan

One consistent cycle across all four PLTW Biomedical courses. Every assessment, formative or summative, feeds the same data. Hermes analyzes it, a dashboard shows it, and the results decide the next lesson, so we keep our pace while reteaching exactly what a skill, content point, or standard needs.

The objective, and the loop that gets there

Step 1
Assess

Every lesson produces a hinge exit ticket; every unit a CFA; every ~4-5 weeks a blueprint-weighted benchmark; week 1 a pretest, ~week 15 a full dress rehearsal.

Step 2
Analyze

Hermes ingests pseudonymous item responses (period + code, never names). Computes per-item difficulty + discrimination; demotes items with D < 0.20. Computes per-domain mastery and projected readiness = Σ(mastery × weight). Names the dominant distractor on each missed item → a shared misconception. Ranks reteach-library rows by (1 − mastery) × blueprint weight. Drafts a See-it / Name-it / Do-it brief to Notion for teacher approval.

Step 3
Act

Tomorrow's spiral do-now targets the top-ranked miss (reteach at no pace cost). The unit's CFA gaps get a same-week WIN/flex station from the library. After each benchmark, one reserve flex day runs tiered reteach (T1 spiral, T2 small group, T3 pull-out). Pace holds: new content continues while review is folded into do-nows and WIN blocks.

Step 4
Culture

Mastery is shown as growth from the pretest, class-aggregate and pseudonymous; students see their own domain bars and the path to the next band.

Lessons → Skills, Content, Standards (all four courses)

The measurable factors behind the plan. Each lesson lists the assessable skills, the content, and the WebXam blueprint standards it feeds, plus the evidence it produces. Switch courses and export any course (or all four) as a spreadsheet.

WebXam 072110 Principles and Practice of Biomedical Technology confirmed

Administered in SY2025-26. It had been labeled the Biomedical Innovations exam, but 072110 is the Principles of Biomedical Technology assessment, which aligns to this foundational course.

WkLessonSkills (assessable)ContentStandards · Evidence
1Course Launch: Safety & Lab Foundations
  • Apply PPE and read an SDS
  • Identify variables and controls
  • Construct and label a graph
  • Compute descriptive statistics (mean, range)
Lab safety · Chain of custody · Experimental design · Descriptive statistics
Handling, Preparation, Storage and DisposalBiotechnology Research and Experiments
PLTW PBS Launch
Evidence: Safety/SOP practical + baseline micro-check
2Unit 1.1 Investigating the Scene
  • Document a scene and log evidence
  • Distinguish observation from inference
  • Maintain chain of custody
  • Collect trace/biometric evidence
Forensic documentation · Trace evidence · Biometrics · Control samples
Handling, Preparation, Storage and DisposalBiotechnology Research and Experiments
PLTW PBS 1.1
Evidence: Scene sketch + evidence log
3Unit 1.1→1.2 Evidence & Biomolecules
  • Design an evidence test
  • Identify biomolecules from indicator data
  • Write a mini-CER
Macromolecules · Toxicology · Cause vs manner of death
Biotechnology Research and Experiments
PLTW PBS 1.1-1.2
Evidence: Trace/biometric analysis + mini-CER
4Unit 1.2 Master the Morgue
  • Identify tissues under microscopy
  • Interpret toxicology evidence
  • Relate structure to function
Histology · Organ systems · Homeostasis · Mechanism of death
Biotechnology Research and Experiments
PLTW PBS 1.2
Evidence: Autopsy evidence table
5Unit 1.3 Open Investigation
  • Synthesize multi-source evidence
  • Evaluate reliability/limitations
  • Write a forensic report
Evidence synthesis · Reliability · Expert testimony
Biotechnology Research and Experiments
PLTW PBS 1.3
Evidence: Evidence board + autopsy report
6Unit 2.1 Talk to Your Doc
  • Collect and chart vital signs
  • Conduct a patient history
  • Apply privacy rules (HIPAA)
Vital signs · Homeostasis · Patient privacy
Biotechnology Research and Experiments
PLTW PBS 2.1
Evidence: Patient interview + vitals chart
7Unit 2.1 Clinical Data
  • Interpret bloodwork against normal ranges
  • Identify risk factors
  • Read monitoring data
Blood glucose/cholesterol · Chronic disease · Telehealth/wearables
Biotechnology Research and Experiments
PLTW PBS 2.1
Evidence: Bloodwork interpretation + care plan
8Unit 2.2 Decoding a Diagnosis
  • Model DNA→protein
  • Trace a mutation to a phenotype
  • Read a codon chart
Transcription/translation · Mutation · Genes and alleles
Biotechnology Research and Experiments
PLTW PBS 2.2
Evidence: DNA-to-protein model
9Unit 2.2→2.3 Genetic Risk
  • Interpret a karyotype
  • Read a pedigree
  • Estimate genetic risk
Karyotype · Inheritance · Carrier/pedigree
Biotechnology Research and Experiments
PLTW PBS 2.2-2.3
Evidence: Genetic-risk explanation
10Unit 2.3 New to the Practice
  • Synthesize a diagnostic workup
  • Form a differential diagnosis
  • Justify a recommendation
Differential diagnosis · Evidence synthesis · Lab tests
Biotechnology Research and Experiments
PLTW PBS 2.3
Evidence: Diagnostic workup packet
11Unit 3.1 Nosocomial Nightmare
  • Diagram the chain of infection
  • Apply aseptic technique
  • Explain immune response
Chain of infection · Pathogens/transmission · Aseptic technique
Handling, Preparation, Storage and DisposalBiotechnology Research and Experiments
PLTW PBS 3.1
Evidence: Chain-of-infection diagram
12Unit 3.1 Outbreak Evidence
  • Build a line list
  • Construct an epidemic curve
  • Identify a causative agent
Epidemiology · Incidence/prevalence · Epidemic curve
Biotechnology Research and Experiments
PLTW PBS 3.1
Evidence: Line list, map, and curve
13Unit 3.2 Emergency Response
  • Apply a triage protocol
  • Calculate a dose
  • Explain drug metabolism
Triage/stabilization · Pharmacokinetics · Medical surge
Biotechnology Research and Experiments
PLTW PBS 3.2
Evidence: Triage/stabilization protocol
14Unit 3.2→3.3 Surge & Public Health
  • Design a surge response
  • Plan public-health communication
  • Apply usability principles
Surge capacity · Surveillance · Usability
Biotechnology Research and Experiments
PLTW PBS 3.2-3.3
Evidence: Surge/mobile response design
15Unit 4.1 Innovation, Inc.
  • Run the engineering design process
  • Write a test plan
  • Iterate from data
Prototype/constraints/criteria · CAD · Iteration
Biotechnology Research and Experiments
PLTW PBS 4.1
Evidence: Device test plan + data table
16Unit 4.2-4.3 Innovation Synthesis
  • Pitch a data-backed innovation
  • Revise from evidence
  • State limitations and next steps
Innovation · Therapeutics · Story map / GIS
Biotechnology Research and Experiments
PLTW PBS 4.2-4.3
Evidence: Final innovation pitch
Download PBS as CSV (spreadsheet)Download all four courses

Assessment cadence (every check feeds the data)

AssessmentWhenFormatProducesInforms
EOC Pretest (baseline)Week 120-item WebXam-style, blueprint-weightedPer-domain baseline mastery; growth denominatorWhere the class starts; which domains to front-load
Spiral Do-NowDaily (5 min)3-5 retrieval items, mostly prior unitsRolling per-standard retention; flags decayFree reteach: tomorrow's do-now targets yesterday's miss
Hinge Exit TicketEvery lesson (last 5 min)1-3 items on the lesson's hinge conceptPer-lesson mastery %, distractor patternReteach now vs proceed; tomorrow's opening
Common Formative AssessmentEnd of each unit8-12 items, blueprint-alignedPer-standard mastery; item difficulty/discriminationUnit-level reteach before the benchmark
Benchmark Checkpoint~Every 4-5 weeks (3/semester)20-item cumulative, blueprint-weightedProjected WebXam readiness; growth vs pretestReteach flex day + small-group tiers
WebXam Dress Rehearsal~2 weeks outFull 40-item, timed, WebXam interfaceReadiness projection; stamina/timingFinal targeted reteach; test-day logistics
WebXam End-of-CourseTesting windowOfficial 40-item formPretest→posttest growth; passing rateNext cohort's front-loading + plan revision

Benchmark checkpoints (single-semester arc)

Wk 1
CP0
Baseline Pretest

Establish per-domain starting mastery and the growth denominator

Covers: All blueprint domains (light)

Wk 5
CP1
Benchmark 1

First reteach inflection; verify Unit 1 foundations held

Covers: Unit 1 + launch/SOP domains

Wk 9
CP2
Benchmark 2 (Midpoint)

Mid-semester course-correct; tier students for WIN blocks

Covers: Units 1-2, heaviest-weight domains

Wk 13
CP3
Benchmark 3

Pre-final gap close; confirm projected readiness ≥ target

Covers: Units 1-3 cumulative

Wk 15
CP4
Dress Rehearsal

Full-length, timed; final targeted reteach list

Covers: Full blueprint (40 items)

Wk 17
CP-EOC
WebXam EOC

Official end-of-course; growth + passing measure

Covers: Official blueprint

What the dashboard measures

Standard Mastery %

correct / attempted, per WebXam domain (class-aggregate)

Read it: ≥80% mastered · 60-79% watch · <60% reteach

Drives: Which domain becomes this week's spiral + WIN focus

Projected WebXam Readiness

Σ (domain mastery% × blueprint weight)

Read it: ≥ course target = on track · below = front-load heaviest-weight gaps

Drives: Whether pace holds or a flex reteach day is inserted

Pretest→Now Growth

current mastery − pretest mastery, per domain

Read it: Positive and tracking to target · flat = intervention

Drives: Confirms reteach is working vs needs a different delivery

Item Difficulty (p)

share of students correct on an item

Read it: 0.30-0.85 healthy · >0.90 too easy · <0.30 too hard/mis-taught

Drives: Flags content genuinely missed vs a bad item

Item Discrimination (D)

top-third correct − bottom-third correct

Read it: ≥0.35 good · 0.20-0.34 fair · <0.20 or negative = demote item

Drives: Removes misleading items before they distort mastery

Dominant Distractor

most-chosen wrong answer on a missed item

Read it: A wrong answer chosen by >40% = a named, shared misconception

Drives: Maps directly to a reteach-library row

Formative→Summative Correlation

exit-ticket/CFA mastery vs benchmark on same standard

Read it: High = formatives predict; low = formatives mis-calibrated

Drives: Tunes which quick checks to trust between benchmarks

How Hermes turns responses into the next lesson

Analyze (automatic, pseudonymous)
  1. Hermes ingests pseudonymous item responses (period + code, never names).
  2. Computes per-item difficulty + discrimination; demotes items with D < 0.20.
  3. Computes per-domain mastery and projected readiness = Σ(mastery × weight).
  4. Names the dominant distractor on each missed item → a shared misconception.
  5. Ranks reteach-library rows by (1 − mastery) × blueprint weight.
  6. Drafts a See-it / Name-it / Do-it brief to Notion for teacher approval.
Act (teacher-approved)
  1. Tomorrow's spiral do-now targets the top-ranked miss (reteach at no pace cost).
  2. The unit's CFA gaps get a same-week WIN/flex station from the library.
  3. After each benchmark, one reserve flex day runs tiered reteach (T1 spiral, T2 small group, T3 pull-out).
  4. Pace holds: new content continues while review is folded into do-nows and WIN blocks.

Hermes runs read-and-recommend: it drafts the See-it / Name-it / Do-it brief and the next spiral do-nows for approval, never auto-publishing. Data is class-aggregate and pseudonymous (period + code, never names). The live numbers render on the gated teacher dashboard.

Reteach library (standard · skill · content)

Each row is tagged on all three axes so it can answer any weak signal. Hermes ranks rows by (1 − mastery) × blueprint weight, so the heaviest-weighted gaps surface first. Starter set below; new misconceptions slot straight in.

CourseTargetMisconceptionTierDelivery → check
MIBLAST interpretation
Bio-Molecular Technology
Reads % identity as the match instead of E-value/coverageT2Small group: annotated BLAST hit table + 3 graded examples
Correctly ranks 3 hits by E-value on an exit ticket (20 min)
MIELISA controls / sensitivity vs specificity
Bio-Molecular Technology
Confuses a false positive with low sensitivityT2Station: 2x2 outcome grid + plate-map sort
Classifies 4 results (TP/FP/TN/FN) correctly (15 min)
MIGel band interpretation
Bio-Molecular Technology
Reads larger fragments as travelling fartherT1Spiral do-now: ladder + 2 lanes for 3 days
Orders fragments by size from a gel image (5 min)
MIAseptic technique
Culturing
Treats contamination as a result, not a procedure errorT1WIN block: technique checklist + re-plate
Identifies the break in a contaminated-plate scenario (20 min)
MIOutbreak epidemiology / line list
Biotechnology Research and Experiments
Confuses signs with symptoms, or reads total cases as incidenceT1Spiral do-now: same outbreak dataset, line list + curve
Builds a line list and names the likely agent from a scenario (5 min)
MILab safety, notebook, and dilution SOPs
Laboratory Standard Operational Procedures
Skips PPE/labeling or mis-orders a dilution/standard-curve procedureT1WIN block: SOP sequencing card + safety practical
Sequences a lab SOP and a serial dilution correctly (15 min)
BIIncidence vs prevalence
Microbiology Testing and Technology
Uses total cases for incidence (ignores new vs existing)T1Spiral do-now: same dataset, both measures
Computes incidence and prevalence from a line list (5 min)
BITransformation + antibiotic selection
Bio-Molecular Technology
Thinks colonies on a selection plate means the gene is expressedT2Small group: control plate logic walk-through
Predicts growth on 4 plate/antibiotic combinations (20 min)
BISterile technique + selective growth
Culturing
Treats contamination as a result or misreads selective growthT1Spiral do-now: sterile-technique check + plate-growth prediction
Predicts growth on a selective plate and names a contamination break (5 min)
BIDesign + research process, variables/controls, basic stats
Laboratory Standard Operational Procedures
Confuses IV/DV/control, or correlation with causation, in a design/research SOPT1Spiral do-now: name variables + controls and pick the right graph in 3 scenarios
Labels IV/DV/control and chooses a valid graph for a new study (5 min)
HBSNegative feedback loops
Human Body Form, Function, and Pathophysiology
Labels the response as the stimulusT1Spiral do-now: glucose loop fill-in for 3 days
Completes a blank feedback loop with correct direction (5 min)
HBSDirectional terms / body planes
Medical Terminology
Swaps proximal/distal and sagittal/transverseT1WIN block: label-the-body station + quiz
Labels 8 terms on a body diagram (15 min)
HBSInterpreting body-system data (EMG, ROM, spirometry, EKG)
Evaluate Body Systems
Reads a sensor/data trace backwards or ignores the baselineT2Small group: annotated data-trace set with guided interpretation
Correctly reads 3 body-system data traces (20 min)
HBSStudy design, variables/controls, model organisms
Laboratory Standard Operational Procedures
Confuses IV/DV/control or skips controls in a study designT1Spiral do-now: name variables + controls in 3 study scenarios
Labels IV/DV/control for a new model-organism study (5 min)
HBSPlaque assay + pathogen risk
Microbiology Testing and Technology
Misreads plaque counts or confuses viral with bacterial growthT2Station: plaque-count practice plates + risk-tier sort
Counts plaques and assigns a risk tier correctly (15 min)
HBSElectrophoresis / urinalysis interpretation
Bio-Molecular Technology
Misreads what gel electrophoresis separates by, or a urinalysis resultT1Spiral do-now: read a gel/urinalysis result in 3 scenarios
States what a gel separates by and reads a urinalysis finding (5 min)
HBSSterile technique
Culturing
Treats an open/contaminated plate as a result rather than a procedure errorT1Spiral do-now: name the sterile-technique break in 3 scenarios
Identifies the contamination break in a plate scenario (5 min)
PBSVariables and controls
Biotechnology Research and Experiments
Calls the control group the independent variableT1Spiral do-now: name IV/DV/control in 3 scenarios
Identifies all three in a new experiment (5 min)
PBSAseptic technique / specimen handling
Handling, Preparation, Storage and Disposal
Skips PPE/labeling steps as optionalT1WIN block: SOP checklist + practical
Sequences a specimen-handling SOP correctly (15 min)
Keeping pace while reteaching

Reteach is built so it never costs forward pace: distributed retrieval lives in the daily 5-minute do-now, targeted reteach lives in WIN/flex blocks and the three reserve days already in the calendar (one after each benchmark). New curriculum keeps moving on the single-semester sequence; review spirals underneath it.

WebXam standards spine (readiness math)

Projected readiness = Σ (domain mastery% × blueprint weight). These weights make every benchmark a real forecast of the end-of-course exam.

PBS · Principles of Biomedical Science
confirmed
WebXam 072110 Principles and Practice of Biomedical Technology
Biotechnology Research and Experiments69.41%
Handling, Preparation, Storage and Disposal30.59%
HBS · Human Body Systems
indicated
WebXam 072040 Human Anatomy and Physiology
Human Body Form, Function, and Pathophysiology43.9%
Medical Terminology21.95%
Evaluate Body Systems18.29%
Microbiology Testing and Technology4.88%
Bio-Molecular Technology3.66%
Laboratory Standard Operational Procedures3.66%
Culturing3.66%
MI · Medical Interventions
confirmed
WebXam 072130 Genetics of Disease
Bio-Molecular Technology56.18%
Culturing20.22%
Laboratory Standard Operational Procedures12.36%
Biotechnology Research and Experiments11.24%
BI · Biomedical Innovations
indicated
WebXam 072125 Biotechnology for Health and Disease
Microbiology Testing and Technology55.29%
Bio-Molecular Technology25.88%
Laboratory Standard Operational Procedures9.41%
Culturing9.41%

Research foundation

Bambrick-Santoyo — Driven by Data 2.0

Assess → Analyze → Act → Culture, and the See-it / Name-it / Do-it data meeting. The backbone of this plan.

Dylan Wiliam — Embedded Formative Assessment

Hinge questions and exit tickets: where the learner is going, where they are now, how to close the gap.

DuFour — PLCs at Work

Common formative assessments and the four questions, especially 'what do we do when they haven't learned it?'

Marzano — Proficiency Scales

0-4 mastery scales so a standard reads as a level, not just a percent.

Dunlosky & Roediger — Learning Science

Retrieval practice, distributed practice, and interleaving: the daily spiral do-now is reteach that costs no pace.

MTSS / RTI

Tiered reteach (T1 spiral, T2 small group, T3 pull-out) in WIN / flex blocks.

Classical Item Analysis

Difficulty, discrimination, and distractor indices separate a real content gap from a bad test item.