Desirable Difficulty Calibration

Calibrate practice difficulty from observed recall and caller target band.

Description

Difficulty calibration compares observed recall with a caller-defined target band.

Difficulty calibration compares observed recall with a caller-defined target band. The resulting label indicates which direction this simple rule would move practice difficulty.^[1]

Calibrate practice difficulty from observed recall and caller target band.

When to use Desirable Difficulty Calibration

Use this tool to calibrate practice difficulty from observed recall and caller target band.

Prepare the lesson timeline, roster, observations or assessment labels requested. Use consistent units and exact identifiers, then choose comparison criteria appropriate to the activity.

How to use Desirable Difficulty Calibration and understand its results

Prepare the lesson timeline, roster, observations or assessment labels requested. Use consistent units and exact identifiers, then choose comparison criteria appropriate to the activity.
Enter recallPercent, lowerTargetPercent, upperTargetPercent using the field table and calculation rules, then run the tool.
Read deviationPoints, adjustment. 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
recallPercent	Recall percent	number	Required
lowerTargetPercent	Lower target percent	number	Required
upperTargetPercent	Upper target percent	number	Required

Enter recall and ordered lower/upper percentages in 0–100. Return adjustment and nonnegative distance in percentage points to the nearest violated boundary, or zero inside.

below band→reduce-difficulty; above→increase-difficulty; inclusive inside→maintain

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

Output field	Meaning	Value type
deviationPoints	Deviation points	number
adjustment	Adjustment	string

json

{
  "input": {
    "recallPercent": 65,
    "lowerTargetPercent": 60,
    "upperTargetPercent": 80
  },
  "output": {
    "deviationPoints": 0,
    "adjustment": "maintain"
  }
}

Limitations and assumptions

The tool does not establish a desirable target, infer learning gains or account for retrieval conditions and learner needs.

Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Retrieval Practice Gate: Schedule the next retrieval test from observed recall and a mastery gate. For a complementary task, use Peer Instruction Vote Shift: Compare peer-instruction concept votes before and after discussion.

References

Desirable Difficulty Calibration — tool.io

Similar or alternative tools

Retrieval Practice Gate
Schedule the next retrieval test from observed recall and a mastery gate.
Peer Instruction Vote Shift
Compare peer-instruction concept votes before and after discussion.