Description
Return a supplied experience-category weight or unknown placeholder.
Adult-learning records allocate supplied participation, contact time, credits and optional requirements. A local fraction or eligibility predicate follows the chosen counting policy; it does not assess learning quality, recognize a qualification or establish contractual entitlement. Excluded and optional components can change the denominator.
Return a supplied experience-category weight or unknown placeholder.
When to use this tool
Use Experience Example Category Weight when checking the stated adult-learning participation, requirement, text or time convention.
How to use the tool and how it works
- Enter category, suppliedCategories, weights. Follow any array-alignment requirements below. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read found, weight. Inspect found before interpreting the associated values.
Return a supplied experience-category weight or unknown placeholder. Require aligned unique categories/nonnegative weights; found tests membership, weight returns its corresponding value or zero when absent.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| category | Category | Required. Text; maximum UTF-16 length 8192. |
| suppliedCategories | Supplied Categories | Required. Array of text; maximum UTF-16 length 8192; maximum items 256. |
| weights | Supplied weights; any normalization and alignment conditions are stated above. | Required. Array of finite number; minimum 0; maximum items 256. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| found | Found | Required. Boolean. |
| weight | Supplied category weight when found; zero placeholder when not found. A recognized zero weight remains found=true. | Required. Finite number. |
{
"input": {
"category": "work",
"suppliedCategories": [
"work",
"study"
],
"weights": [
2,
1
]
},
"output": {
"found": true,
"weight": 2
}
}Limitations and assumptions
- Unknown zero differs from a recognized zero weight; no category classification, evidence quality or actual credit 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 actual course plan, learner needs and governing credit/recognition policy with the responsible educational team for substantive decisions.
References
Similar or alternative tools
- Competency Evidence Recency Weight Term
Return exponentially discounted evidence score by recency.
- Learning Contract One Goal Weight
Return one normalized learning-goal weight and score contribution.