Classroom Group Balancer
Create similarly sized classroom groups while spreading teacher-entered readiness scores across teams.
- 1Explore the example
- 2Edit your assumptions
- 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.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
What this model includes
Greedy balancing of entered scores, not a student assessment. No demographic inference or guarantee of an optimal grouping; review assignments yourself.
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 Classroom Group Balancer
Create similarly sized classroom groups while spreading teacher-entered readiness scores across teams.
- Review the preloaded example and the model limits before entering real data.
- Adjust number of groups.
- Edit the student label rows or import a CSV using the Input CSV column template.
- Open Results & chart to inspect details, sort columns and filter rows.
- Capture alternative scenarios, then download a project, result CSV or printable report.
Example
The worked example includes A, B, C, D, E, F. Change the first number of groups setting and compare the result with a saved baseline.
Questions & answers
What does Classroom Group Balancer calculate?
Create similarly sized classroom groups while spreading teacher-entered readiness scores across teams.
What are the important limitations?
Greedy balancing of entered scores, not a student assessment. No demographic inference or guarantee of an optimal grouping; review assignments yourself.
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, score. 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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