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Autonomous Learning Revision Credit

Update an explicit autonomous-learning revision credit value without assessing learning outcomes.

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Description

Update supplied autonomous-learning revision credits.

Adult-learning records distinguish self ratings, comparison criteria, acknowledgments, feedback states and recognized credits. Closing a feedback item can mean completion or decline, while a reported rating gap does not establish competence. Supplied priorities and evidence references need the broader learning context.

Update supplied autonomous-learning revision credits.

When to use this tool

Use Autonomous Learning Revision Credit when you already have openingCredits, revisionCredits, withdrawnCredits and need to update supplied autonomous-learning revision credits.

How to use the tool and how it works

  1. Enter openingCredits, revisionCredits, withdrawnCredits. 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 closingBalance. Use the output convention below.

Require opening, revision and withdrawn credits>=0; return opening+revision-withdrawn.1

Input fieldMeaning and unitsAccepted input
openingCreditsOpening CreditsRequired. Finite number; minimum 0.
revisionCreditsRevision CreditsRequired. Finite number; minimum 0.
withdrawnCreditsWithdrawn CreditsRequired. Finite number; minimum 0.
Output fieldInterpretationReturned shape
closingBalanceClosing BalanceRequired. Finite number.
json
{
  "input": {
    "openingCredits": 20,
    "revisionCredits": 8,
    "withdrawnCredits": 5
  },
  "output": {
    "closingBalance": 23
  }
}

Limitations and assumptions

  • Credits can be fractional and a negative closing discrepancy is retained. No actual credit award, recognition policy, learning outcome or entitlement 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

Review the complete goals, criteria, learner preferences, evidence and recognition policy. Use an appropriate educational assessment for learning decisions; local labels, time gaps and supplied credit balances do not establish outcomes or informed agreement.

References

  1. Calculation and input contract: andragogy/autonomous-learning-revision-credit — tool.io

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