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STEM PRACTICE AND EVIDENCE WORKBENCH

Proportional Relationship Practice Review Workbench

Compare unit rates from two ordered pairs and audit learner constants and proportional or not-proportional classifications.

Runs in this browser tabEditable downloadUp to 500 structured rows and 30,000 characters per field. Use anonymous or fictional labels.

Learning inputs

Build the proportional relationship practice review workbench

Enter a fictional review label, a meaningful rate-unit label, a percentage tolerance, and context | x1 | y1 | x2 | y2 | learner constant k | proportional or not_proportional. Both x-values must be nonzero. Keep measurement definitions and units consistent within a row and preserve negative values when the context allows them.

Generation uses only the information entered in this tab. It does not fetch sources or make student decisions.

Review output

Your learning artifact appears here

Load the worked example to inspect realistic inputs, or enter anonymous classroom or laboratory evidence. Results remain in this browser tab until you copy or download them.

Transparent method

How the proportional relationship practice review workbench works

Calculate k1 = y1/x1 and k2 = y2/x2. The pairs are proportional when their difference falls within the entered percentage tolerance. The learner constant is checked against k1 with the same tolerance. A response is supported only when both the numerical constant and proportional or not-proportional classification agree with the disclosed calculations. Supported means the learner response matches the two entered pairs, not that a whole dataset or causal model has been validated. A correct label with an incorrect constant suggests calculation or unit-rate evidence needs review. Consider whether the relationship includes the origin, whether a fixed fee creates a nonzero intercept, whether signs and units are meaningful, and whether rounding or measurement uncertainty justifies the tolerance.

  1. 01
    Before generation

    Confirm the learning question, authoritative source, units, notation, response coding, model assumptions, and review threshold. Keep an unchanged copy of the original evidence and remove learner names or identifiers.

  2. 02
    During review

    Run the worked example first, inspect every intermediate row, and compare it with a hand calculation, diagram, representation, or approved subject method. Correct input evidence before interpreting a flag.

  3. 03
    Before use

    Record the method, assumptions, units, classifications, and flagged rows. Verify the editable report independently, connect the numerical signal with learner reasoning, and document any teaching or laboratory decision outside this tool.

How to interpret the result

Proportional Relationship Practice Review Workbench

Before generation

Use when a learner must decide whether two points are consistent with y = kx and explain the constant of proportionality. The workbench separates the unit-rate calculation from the classification label, which helps distinguish arithmetic from concept errors. It does not prove that all possible observations follow one rule, fit an intercept, infer units, read a graph image, or decide whether proportionality is appropriate for the real context.

Worked example

The recipe pairs 2 to 6 and 5 to 15 both give k equals 3. Distance-time pairs give 4. The fee example produces rates 7 and 11 divided by 3, so the not-proportional claim is supported even though the first entered rate is 7. The final pairs both produce 2.5, but learner k is 5, so its otherwise correct classification is flagged.

Formula or methodology

Calculate k1 = y1/x1 and k2 = y2/x2. The pairs are proportional when their difference falls within the entered percentage tolerance. The learner constant is checked against k1 with the same tolerance. A response is supported only when both the numerical constant and proportional or not-proportional classification agree with the disclosed calculations.

How to interpret the result

Supported means the learner response matches the two entered pairs, not that a whole dataset or causal model has been validated. A correct label with an incorrect constant suggests calculation or unit-rate evidence needs review. Consider whether the relationship includes the origin, whether a fixed fee creates a nonzero intercept, whether signs and units are meaningful, and whether rounding or measurement uncertainty justifies the tolerance.

Common mistakes

Do not compare y-values alone, divide x by y after defining k as y per x, use an x-value of zero, declare proportional from a constant difference, ignore units, treat two approximate rates as exactly equal without a threshold, or claim that any straight line is proportional. Write both ratios with labels and test whether the model also makes contextual sense.

OpenStax Algebra and Trigonometry: variation and proportional relationships

Learning boundary

A calculated signal still requires subject review

This browser-local workbench applies only the disclosed rules. It cannot diagnose a learner, certify an experiment, establish assessment validity, or replace teacher, laboratory, curriculum, accessibility, and safety judgment.

Review checklist

Human review before educational use

  • Every entered value, unit, label, and response matches the approved source evidence.
  • The disclosed model matches the intended curriculum question and evidence type.
  • Intermediate calculations, restrictions, and conflicts have been inspected rather than using only the headline.
  • A teacher or learner verifies the report independently and records corrections, limitations, and next steps.

Practical questions

Proportional Relationship Practice Review Workbench questions

Does Nirmion upload these inputs?

No. Processing occurs in the current browser tab. Avoid personal information and retain authoritative records only in the approved school system.

Can the result prove mastery or scientific validity?

No. It describes entered evidence under one disclosed rule. Review reasoning, uncertainty, access, and several evidence sources.

Can I submit the downloaded report as finished work?

Treat it as an editable calculation aid. Show your own reasoning, cite required sources, and follow course and academic-integrity rules.