Combo Learning Speed 8counts Per Run Lookup

Estimate actual combination-learning rate from cumulative mastered eight-count phrases across observed runs; zero progress yields unavailable −1 horizon, not universal learning ability or guaranteed linear acquisition.

Description

Observed cumulative phrase mastery supports a simple learning-rate estimate.

Observed cumulative phrase mastery supports a simple learning-rate estimate. No observed progress leaves remaining horizon unavailable.^[1]

Enter aligned observations with at least two strictly increasing integer runs 0–10000, nondecreasing integer learned counts 0–target and integer target 1–10000. Return interval gains, rate and remaining whole intervals:0 if complete,−1 if stalled.

When to use Combo Learning Speed 8counts Per Run Lookup

Use Combo Learning Speed 8counts Per Run Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No guaranteed linear acquisition, general learning ability or retention model is supplied.

Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.

How to use Combo Learning Speed 8counts Per Run Lookup and understand its results

Prepare the annotated dance, timing, rehearsal or inventory records requested. Supply caller rules, evidence flags and local reference values; distinguish beats, bars, counts and seconds.
Enter observedRunNumbers, cumulativeEightCountPhrasesLearned, callerTotalEightCountPhrases using the field table and calculation rules, then run the tool.
Read newEightCountPhrasesPerObservedRunInterval, observedPhrasesPerRunInterval, estimatedAdditionalWholeRunIntervals, learningComplete. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
observedRunNumbers	Observed run numbers	list of number	Required
cumulativeEightCountPhrasesLearned	Cumulative eight count phrases learned	list of number	Required
callerTotalEightCountPhrases	Caller total eight count phrases	number	Required

rate=(lastLearned−firstLearned)/(lastRun−firstRun); remainingRuns=ceil(remaining/rate)

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
newEightCountPhrasesPerObservedRunInterval	New eight count phrases per observed run interval	list of number
observedPhrasesPerRunInterval	Observed phrases per run interval	number
estimatedAdditionalWholeRunIntervals	Estimated additional whole run intervals	number
learningComplete	Learning complete	boolean

json

{
  "input": {
    "observedRunNumbers": [
      1,
      2,
      3
    ],
    "cumulativeEightCountPhrasesLearned": [
      1,
      3,
      4
    ],
    "callerTotalEightCountPhrases": 8
  },
  "output": {
    "newEightCountPhrasesPerObservedRunInterval": [
      2,
      1
    ],
    "observedPhrasesPerRunInterval": 1.5,
    "estimatedAdditionalWholeRunIntervals": 3,
    "learningComplete": false
  }
}

Limitations and assumptions

No guaranteed linear acquisition, general learning ability or retention model is supplied.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.

Alternative or Complementary methods

Use Motor Learning Blocked vs Random Practice Lookup: Task-switch evidence describes practice structure without establishing randomness. Same-task runs are counted as blocks. For a complementary task, use Mirror Dependency Facing Away Transfer Drill Lookup: Matched phrase error counts expose transfer differences between mirror and facing-away conditions. Signed differences allow improvement.

References

Combo Learning Speed 8counts Per Run Lookup — tool.io

Similar or alternative tools

Motor Learning Blocked vs Random Practice Lookup
Task-switch evidence describes practice structure without establishing randomness. Same-task runs are counted as blocks.
Mirror Dependency Facing Away Transfer Drill Lookup
Matched phrase error counts expose transfer differences between mirror and facing-away conditions. Signed differences allow improvement.