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💬 English Exams & Writing

Schedule Repeated Reviews Earlier for Lower-Confidence Topics

Allocate topic reviews before an exam with confidence-weighted intervals and collision warnings.

Drop or choose a file up to 2 MB. Its contents replace the main text input; the filename alone is never treated as data.

Reviewable output

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Processed

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Warnings / conflicts

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Output state

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How the calculation works

Local inputboundedPer-item ruledeterministicArtifactcopy / download

How to Use This Tool

Allocate topic reviews before an exam with confidence-weighted intervals and collision warnings. Plan repeated revision dates by topic, confidence and exam date, keep low-confidence reviews closer together, detect daily overload, and export a schedule.

The work this page finishes

A topic list does not decide when to revisit each item, and evenly spaced reviews ignore that low-confidence material needs earlier contact. For Revision Spacing Plan, a visible row-by-row result preserves provenance, making a single correction possible without rerunning unrelated records or uploading the batch.

Rows or choicesValidate every itemReview and export
The sample places nine topic reviews inside a 24-day window and exposes any date that exceeds three planned reviews.

Deterministic workflow

Place each topic's requested reviews at deterministic fractions of the available window, shifting lower-confidence topics earlier and counting dates above the entered daily cap. For Revision Spacing Plan, input guards stop after 5,000 records or 2 MB, and the report separates fatal input problems from recoverable row warnings.

Why a dedicated interface helps

Use the schedule as a starting plan, update confidence after retrieval practice and move overloaded dates while keeping the final review before the exam. For Revision Spacing Plan, deterministic ordering, one-click copying and a downloadable artifact make repeated operational review easier than manually reconstructing a response from prose.

Assumptions

  • Confidence is a self-rating from one to five.
  • Dates use one local calendar.
  • Review count is chosen by the learner.

For Revision Spacing Plan, do not discard the source after export: compare the destination result with it, and remember that local execution cannot secure the surrounding device or browser add-ons.

Limitations and review boundary

It does not predict scores, diagnose learning needs, generate study content, guarantee retention or replace course and accessibility support. For Revision Spacing Plan, user values are never run as script, rendered as markup or fetched as network destinations; the page writes them only into text nodes.

Verification and provenance

On 2026-08-26, the rule and examples were cross-checked with Dunlosky et al. — Improving Students’ Learning, including a known result, a rejected input and a conflict or duplicate case. The sample places nine topic reviews inside a 24-day window and exposes any date that exceeds three planned reviews.

Sources & assumptions

Tool Spec v2 · verified 2026-08-26. Platform rules and fees can change; the editable inputs remain authoritative for your account.

Official references

Model assumptions

  • Confidence is a self-rating from one to five.
  • Dates use one local calendar.
  • Review count is chosen by the learner.
  • It does not predict scores, diagnose learning needs, generate study content, guarantee retention or replace course and accessibility support.
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Frequently Asked Questions

What does Revision Spacing Plan complete?
It applies the stated planner rule to revision spacing plan inputs and produces the reviewable output shown above.
Why use a dedicated Revision Spacing Plan page instead of chat?
The Revision Spacing Plan workflow preserves ordering, applies identical validation on every run and creates an artifact without conversational drift.
Does Revision Spacing Plan send the input to ecech?
No. Revision Spacing Plan reads pasted or selected content inside the current browser tab and does not call an ecech calculation API.
What verifies the default result?
The sample places nine topic reviews inside a 24-day window and exposes any date that exceeds three planned reviews.
When should I reject the output?
It does not predict scores, diagnose learning needs, generate study content, guarantee retention or replace course and accessibility support.
Which reference supports Revision Spacing Plan?
The recorded Revision Spacing Plan reference is Dunlosky et al. — Improving Students’ Learning, reviewed 2026-08-26.

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