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Self Regulated Learning Feedback Lag

Measure one recorded work-submission to feedback-receipt interval without inferring a learning outcome.

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Description

Measure a nonnegative submitted-work-to-feedback interval.

Assessment records distinguish presented items, responses, deliberate skips, missingness, accommodations, versions and reference populations. A score contribution depends on its chosen denominator and weight, while one confidence gap is not a full calibration study. Recorded observations and timing differences do not establish learner ability or an appropriate intervention.

Measure a nonnegative submitted-work-to-feedback interval.

When to use this tool

Use Self Regulated Learning Feedback Lag when you already have workSubmittedSeconds, feedbackReceivedSeconds and need to measure a nonnegative submitted-work-to-feedback interval.

How to use the tool and how it works

  1. Enter workSubmittedSeconds, feedbackReceivedSeconds. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read lagSeconds. Use the output convention below.

Require feedbackReceivedSeconds>=workSubmittedSeconds; return their difference.1

Input fieldMeaning and unitsAccepted input
workSubmittedSecondsWork Submitted SecondsRequired. Finite number.
feedbackReceivedSecondsFeedback Received SecondsRequired. Finite number.
Output fieldInterpretationReturned shape
lagSecondsLag SecondsRequired. Finite number.
json
{
  "input": {
    "workSubmittedSeconds": 1000,
    "feedbackReceivedSeconds": 4600
  },
  "output": {
    "lagSeconds": 3600
  }
}

Limitations and assumptions

  • No clock correction, actual feedback, learning impact or appropriate response window is verified.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the full assessment manual, item records, population reference and research design for score interpretation. Review missingness, exposure, accommodations and comparability; local labels or contributions do not replace psychometric analysis or an appropriate educational assessment.

References

  1. Calculation and input contract: educational-psychology/self-regulated-learning-feedback-lag — tool.io

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