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STEM REASONING AND EVIDENCE WORKBENCH

Proportional Relationship Visual Model Builder

Normalize paired quantities to one-unit strips and audit constant unit-rate evidence across grouped contexts.

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 visual model builder

Enter a fictional model name and labels for the first and second quantity units. Add context | nonzero first quantity | second quantity | learner claimed unit rate rows. Repeat each context for at least two pairs, keeping quantity meaning and units consistent within the group.

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 visual model builder works

For every row with nonzero x, unit rate k equals y divided by x. Rows under one exact context are treated as one model. Their rates must remain within one percent of the first rate, and each learner claim must agree with its row, before the context is marked proportional. A supported context has a stable multiplicative comparison for the entered pairs. The one-unit strips show what one x-unit maps to in y-units. Additional evidence should include an origin point, a straight graph through the origin, compatible units, and contextual reasoning; two matching ratios alone may be accidental.

  1. 01
    Before generation

    Confirm the question, approved source, units, notation, signs, response coding, model assumptions, and review threshold. Keep an unchanged copy of measurements or learner evidence.

  2. 02
    During review

    Run the worked example, inspect every intermediate row, and compare the result with a hand calculation, diagram, representation, periodic table, or approved laboratory method.

  3. 03
    Before use

    Record the method, assumptions, uncertainty, units, classifications, and flagged rows. Verify the editable report independently before instruction, assessment, or laboratory use.

How to interpret the result

Proportional Relationship Visual Model Builder

Before generation

Use to connect a ratio table with the equation y equals kx and a one-unit visual strip. It can expose an additive pattern or inconsistent unit rate. It does not fit a nonzero intercept, choose causal variables, infer missing units, handle a zero denominator row, account for measurement uncertainty automatically, or prove the context is proportional.

Worked example

Recipe pairs 2 to 6 and 4 to 12 both normalize to three. Scale drawing pairs normalize to four. Taxi values 2 to 7 and 4 to 13 normalize to 3.5 and 3.25, so an unchanged learner constant of 3.5 does not describe both rows and the group is flagged.

Formula or methodology

For every row with nonzero x, unit rate k equals y divided by x. Rows under one exact context are treated as one model. Their rates must remain within one percent of the first rate, and each learner claim must agree with its row, before the context is marked proportional.

How to interpret the result

A supported context has a stable multiplicative comparison for the entered pairs. The one-unit strips show what one x-unit maps to in y-units. Additional evidence should include an origin point, a straight graph through the origin, compatible units, and contextual reasoning; two matching ratios alone may be accidental.

Common mistakes

Do not use y minus x as the constant, accept a nonzero fixed fee as proportional, compare unlike units, divide in alternating directions, ignore signs, or round different rates until they look equal. State y per x, preserve precision, test another pair, and connect table, graph, equation, and context.

OpenStax Prealgebra: solving proportions

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 a chemical structure, or replace teacher, laboratory, and safety judgment.

Review checklist

Human review before educational use

  • Every value, symbol, unit, classification, date, and response matches the source evidence.
  • The disclosed model matches the course method and intended question.
  • Intermediate rows and conflicts have been inspected rather than using only the headline.
  • A teacher or learner verifies the report independently and records corrections.

Practical questions

Proportional Relationship Visual Model Builder questions

Does Nirmion upload these inputs?

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

Can this result prove understanding or a scientific law?

No. It describes entered evidence under one disclosed rule. Compare several evidence sources and ask for reasoning before drawing a conclusion.

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 the course method and academic-integrity rules.