Motor Learning Blocked vs Random Practice Lookup
Audit actual practice task-switch/block structure under caller maximum block policy; switching alone does not prove randomness, optimal motor learning, transfer or retention.
Description
Task-switch evidence describes practice structure without establishing randomness.
Task-switch evidence describes practice structure without establishing randomness. Same-task runs are counted as blocks.1
Enter at least two nonblank safe task IDs and integer maximum block length 1–128. Preserve exact IDs, group consecutive repeats and return block lengths, switch count, strict-over-policy block indexes and switch fraction.
When to use Motor Learning Blocked vs Random Practice Lookup
Use Motor Learning Blocked vs Random Practice Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No optimal learning, randomization proof, transfer or retention is inferred.
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 Motor Learning Blocked vs Random Practice 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 observedPracticeTaskIds, callerMaximumSameTaskBlockLength using the field table and calculation rules, then run the tool.
- Read observedSameTaskBlockLengths, observedTaskSwitchCount, blocksAboveCallerPracticePolicyIndices, adjacentTaskSwitchFraction. 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 |
|---|---|---|---|
| observedPracticeTaskIds | Observed practice task ids | list of string | Required |
| callerMaximumSameTaskBlockLength | Caller maximum same task block length | number | Required |
Enter at least two nonblank safe task IDs and integer maximum block length 1–128. Preserve exact IDs, group consecutive repeats and return block lengths, switch count, strict-over-policy block indexes and switch fraction.
switchFraction=(blockCount−1)/(trialCount−1) Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| observedSameTaskBlockLengths | Observed same task block lengths | list of number |
| observedTaskSwitchCount | Observed task switch count | number |
| blocksAboveCallerPracticePolicyIndices | Blocks above caller practice policy indices | list of number |
| adjacentTaskSwitchFraction | Adjacent task switch fraction | number |
{
"input": {
"observedPracticeTaskIds": [
"A",
"A",
"B",
"B",
"A"
],
"callerMaximumSameTaskBlockLength": 2
},
"output": {
"observedSameTaskBlockLengths": [
2,
2,
1
],
"observedTaskSwitchCount": 2,
"blocksAboveCallerPracticePolicyIndices": [],
"adjacentTaskSwitchFraction": 0.5
}
} Limitations and assumptions
No optimal learning, randomization proof, transfer or retention is inferred.
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.
Alternative or Complementary methods
Use Combo Learning Speed 8counts Per Run Lookup: Observed cumulative phrase mastery supports a simple learning-rate estimate. No observed progress leaves remaining horizon unavailable. 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
Similar or alternative tools
- Combo Learning Speed 8counts Per Run Lookup
Observed cumulative phrase mastery supports a simple learning-rate estimate. No observed progress leaves remaining horizon unavailable.
- Mirror Dependency Facing Away Transfer Drill Lookup
Matched phrase error counts expose transfer differences between mirror and facing-away conditions. Signed differences allow improvement.