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STEM EVIDENCE WORKBENCH

Proportional Relationship Misconception Diagnostic

Test paired quantities for one constant ratio through the origin and compare learner proportional or non-proportional claims with exact evidence.

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 misconception diagnostic

Enter an anonymous diagnostic label and grade band. Add context | x1 | y1 | x2 | y2 | yes or no rows. Use yes only when the learner claims the two pairs belong to one proportional relationship. Include zero-origin and nonzero-intercept examples when those distinctions are part of the intended evidence.

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 misconception diagnostic works

For nonzero evidence, the pairs (x1,y1) and (x2,y2) share a constant ratio when y1 times x2 equals y2 times x1. Any entered point with x equal to zero must also have y equal to zero for y = kx. Two rows with only zero x values are insufficient to define a nonzero constant. Claim supported means the entered yes-or-no judgment agrees with cross-products and the origin rule. A ratio conflict identifies the arithmetic evidence; a nonzero-intercept flag identifies a structural conflict. Follow the report by asking learners to state k, represent the points on a graph, and explain what one unit means in context.

  1. 01
    Before generation

    Confirm the prompt, source values, units, signs, notation, precision, and model required by the current course. Keep an untouched copy of observations or responses before changing a row.

  2. 02
    During review

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

  3. 03
    Before use

    Record the method, assumptions, units, rounding, limits, and any row that needs review. Use the exported report as editable evidence and verify it independently before assessment or laboratory use.

How to interpret the result

Proportional Relationship Misconception Diagnostic

Before generation

Use after learners compare tables, graphs, or contexts and need to distinguish y = kx from a relationship with an additive offset. The diagnostic checks the supplied pair evidence and origin compatibility. It does not prove a complete data set follows the model, fit noisy measurements, determine causation, or infer why a learner selected an answer.

Worked example

The recipe and constant-speed rows share matching y divided by x values. A taxi row has different ratios and conflicts with a yes claim. The zero-origin row supports proportionality because zero maps to zero and the nonzero pair defines a ratio. The offset row maps zero to four and is correctly labeled non-proportional.

Formula or methodology

For nonzero evidence, the pairs (x1,y1) and (x2,y2) share a constant ratio when y1 times x2 equals y2 times x1. Any entered point with x equal to zero must also have y equal to zero for y = kx. Two rows with only zero x values are insufficient to define a nonzero constant.

How to interpret the result

Claim supported means the entered yes-or-no judgment agrees with cross-products and the origin rule. A ratio conflict identifies the arithmetic evidence; a nonzero-intercept flag identifies a structural conflict. Follow the report by asking learners to state k, represent the points on a graph, and explain what one unit means in context.

Common mistakes

Do not identify proportionality from a straight-looking segment alone, equal additive changes, one matching point, or a table that never checks the origin. Keep x and y order consistent, avoid rounded ratios when cross-products are available, include units, and do not convert an evidence flag into a judgment about learner ability.

OpenStax Prealgebra: ratios and proportions

Learning boundary

A calculated pattern still needs subject review

This browser-local workbench applies only the disclosed rules to entered values. It cannot diagnose learning, certify an experiment, establish a chemical fact, reconstruct missing evidence, or replace the method and judgment required by a teacher, curriculum, laboratory, or institution.

Review checklist

Human review before educational use

  • Every value, symbol, sign, unit, and response comes from the intended prompt or evidence source.
  • The implemented arithmetic or scientific rule matches the current course method.
  • Intermediate rows and flagged alternatives have been inspected rather than using only the headline.
  • A teacher or learner verifies the report with an independent method and the original context.

Practical questions

Proportional Relationship Misconception Diagnostic questions

Does Nirmion upload these responses or observations?

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

Can the result identify a learner misconception or certify a model by itself?

No. A matched pattern describes the entered evidence under one disclosed rule. Ask for an explanation and review several evidence sources before deciding the next step.

Can I submit the downloaded report as finished work?

Treat it as an editable calculation aid. Show your own reasoning, use the method requested by the course, cite required sources, and follow the applicable academic-integrity rules.