#3447 · Education Tool

Student Device Completion Forecast Calculator

Estimate how many learners are likely to complete a program delivered through student device resources. Instead of applying a single blanket percentage, this forecast separates the stages that reduce the starting cohort. That makes it easier to see whether access, participation, assessment, or retention assumptions are driving the expected outcome and where intervention could recover completions.

Calculator

Cohort forecast
learners
Learners expected to use a managed device.
%
Share with consistent access during the course.
%
Share able to reach required online content.
%
Completion among learners with usable access.

How to use this calculator

  1. Enter the starting cohort.
  2. Add a realistic rate for each required stage.
  3. Calculate the compounded completion forecast.
  4. Compare the stage assumptions with actual cohort data.

Formula

Forecast completions = assigned learners × device access rate × connectivity rate × baseline course completion rate.

What the result means

The result is the expected number of learners who satisfy every modeled stage. The displayed completion rate is the forecast divided by the starting cohort.

This is a planning scenario, not an individual prediction. Rates should come from comparable cohorts and be refreshed as actual data arrives.

Example calculation

For 1,000 assigned learners with 94% device access, 90% connectivity, and 78% baseline completion, the forecast is 660 completions, or 66.0% after display rounding.

Tips for better results

  • Use rates from the same learner population when possible.
  • Run a conservative and an optimistic scenario.
  • Focus improvement work on a weak stage that can actually be influenced.
  • Avoid mixing attendance measured per session with attendance measured per course.
  • Track actual versus forecast completions after each cohort.

Frequently asked questions

Why are the forecast rates multiplied instead of averaged?

Each rate represents a successive condition a learner must pass, so the surviving group from one stage becomes the starting group for the next.

Can this forecast be used for a partially completed cohort?

Yes. Enter the learners remaining at the current point and use forward-looking rates for the stages still ahead.

Does a zero rate produce an error?

No. A valid zero percent produces zero forecast completions; percentages outside 0% to 100% are rejected.

How should I set the baseline completion rate?

Use a comparable recent cohort with similar course length, learner population, and requirements rather than a broad institutional average.

Is the completion forecast a guarantee?

No. It is a scenario based on the entered rates and should be updated as actual participation data becomes available.

Forecast stages

StageRole
Device AccessFirst eligibility factor
ConnectivitySecond eligibility factor
Course CompletionFinal completion factor

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