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Rubric Grading Workbench

Apply a weighted rubric consistently across learners and inspect criterion-level scores before exporting results.

Local calculationsEditable projectsCSV & reports
  1. 1Explore the example
  2. 2Edit your assumptions
  3. 3Compare & export

Loading the worked example…

Your working data

Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.

What this model includes

All learners must have the same rubric criteria, maximums and weights. The threshold is your own review rule; the tool does not evaluate submitted work.

Import and save safely

CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.

Using Rubric Grading Workbench

Apply a weighted rubric consistently across learners and inspect criterion-level scores before exporting results.

  1. Review the preloaded example and the model limits before entering real data.
  2. Adjust review threshold (%).
  3. Edit the learner label rows or import a CSV using the Input CSV column template.
  4. Open Results & chart to inspect details, sort columns and filter rows.
  5. Capture alternative scenarios, then download a project, result CSV or printable report.

Example

The worked example includes A, A, B, B.
Change the first review threshold (%) setting and compare the result with a saved baseline.

Questions & answers

What does Rubric Grading Workbench calculate?

Apply a weighted rubric consistently across learners and inspect criterion-level scores before exporting results.

What are the important limitations?

All learners must have the same rubric criteria, maximums and weights. The threshold is your own review rule; the tool does not evaluate submitted work.

Can I continue my work later?

Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.

What CSV columns do I need?

student, criterion, earned, max, weight. Download Input CSV for a compatible example. CSV imports keep your current assumptions.

Are these example figures current industry benchmarks?

No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.

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