Interpolate between supplied solubility-curve points and audit learner readings within a declared percentage tolerance.
Runs in this browser tabEditable downloadUp to 500 structured rows and 30,000 characters per field. Use anonymous or fictional labels.
02
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 solubility curve reading concept diagnostic works
Compute interval fraction as query temperature minus first temperature divided by second minus first. Interpolated solubility equals first solubility plus that fraction times second minus first solubility. The endpoint temperatures must differ and the query must be bounded by them. Compare learner and interpolated values with the declared relative percentage tolerance. Supported means the learner value matches straight-line interpolation between the supplied endpoints. A real curve may bend within that interval, and visual graph resolution may justify an uncertainty range rather than a single exact number. Review the original data source, axes, scale, solvent basis, substance form, temperature, pressure, significant figures, and purpose before using the value.
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.
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.
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
Solubility Curve Reading Concept Diagnostic
Before generation
Use after learners read a graph and need a transparent interpolation check between two known points. The report exposes the interval fraction and expected reading. It does not digitize an image, infer a nonlinear curve, extrapolate beyond endpoints, identify saturation state from solution mass, correct published data, account for pressure automatically, or establish safe preparation conditions.
Worked example
Between 20 C at 32 and 40 C at 64, the 30 C query lies halfway and gives 48. Potassium chloride similarly gives 37 halfway between 34 and 40. The fictional salt query at 5 C is one quarter of the way from 0 to 20, giving 15. The final midpoint should read 40, so learner value 50 is flagged.
Formula or methodology
Compute interval fraction as query temperature minus first temperature divided by second minus first. Interpolated solubility equals first solubility plus that fraction times second minus first solubility. The endpoint temperatures must differ and the query must be bounded by them. Compare learner and interpolated values with the declared relative percentage tolerance.
How to interpret the result
Supported means the learner value matches straight-line interpolation between the supplied endpoints. A real curve may bend within that interval, and visual graph resolution may justify an uncertainty range rather than a single exact number. Review the original data source, axes, scale, solvent basis, substance form, temperature, pressure, significant figures, and purpose before using the value.
Common mistakes
Do not average endpoints when the query is not halfway, swap temperature and solubility axes, read grams per solution as grams per fixed solvent mass, extrapolate silently, mix two substances, ignore hydrates or pressure-sensitive gases, or present a visually estimated point as exact. Mark the query proportion on both axes and retain the source conditions.
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.