Random Assessment Item Sampler Generator

Description

Sample distinct existing question records without replacement within each requested objective count, shuffle the combined paper, and delegate coverage auditing against a caller-selected minimum. Entire supplied prompts and answers are retained unchanged; extra bank objectives are ignored, shortages fail explicitly, and no assessment-validity or difficulty claim is made.

A workflow or scheduling fixture makes ordering, dependencies, capacity, and timing explicit. Returning both the constructed records and their checks helps consumers distinguish a valid arrangement from a simulated failure case.

When to use this tool

Use this generator to create reproducible assessment item sampler cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

Supply bank, objectives, minimumItemsPerObjective in the field shapes below. Set seed when you need an explicit replay.
Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
Read items, coverage. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Sample each objective's exact requested number of distinct items, combine the objective pools, shuffle presentation order, and delegate minimum coverage checking. Return selected item records and objective-aligned coverage evidence.^[1]

Delegated operations used for this result: assessment blueprint coverage. Their calculation or parsing conventions apply to the corresponding result fields.^[2]

Input field	Meaning and units	Accepted input
bank	Bank	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 256.
bank[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128.
bank[].objectiveId	Objective Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128.
bank[].prompt	Prompt	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 2048.
bank[].answer	Answer	Required. Text; maximum UTF-16 length 4096.
objectives	Objectives	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 32.
objectives[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128.
objectives[].count	Count	Required. Safe integer; minimum 0; maximum 32.
minimumItemsPerObjective	Minimum Items Per Objective	Required. Safe integer; minimum 1; maximum 32.
seed	Optional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.	Optional. Safe integer.

Output field	Interpretation	Returned shape
items	Items	Required. Array of Object; no unknown keys.; minimum items 1; maximum items 128.
items[].id	Literal identifier used independently of display labels.	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128.
items[].objectiveId	Objective Id	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 128.
items[].prompt	Prompt	Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 2048.
items[].answer	Answer	Required. Text; maximum UTF-16 length 4096.
coverage	Coverage	Required. Object; no unknown keys.
coverage.objectiveIds	Objective Ids	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 128.; maximum items 32.
coverage.itemCounts	Item Counts	Required. Array of Safe integer; minimum 0; maximum 32.; minimum items 1; maximum items 32.
coverage.uncoveredObjectiveIds	Uncovered Objective Ids	Required. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 128.; maximum items 32.
coverage.coveragePercent	Coverage Percent	Required. Finite number; minimum 0; maximum 100.
randomness	Replay source and normalized 32-bit seed, or null seed for an advancing context source.	Required. Object; no unknown keys.
randomness.seed	Optional safe-integer replay seed; normalization and precedence are explained below.	Required. Safe integer. or Null.
randomness.source	Source	Required. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json

{
  "input": {
    "bank": [
      {
        "id": "a",
        "objectiveId": "O1",
        "prompt": "1 + 1",
        "answer": "2"
      },
      {
        "id": "b",
        "objectiveId": "O1",
        "prompt": "2 + 2",
        "answer": "4"
      },
      {
        "id": "c",
        "objectiveId": "O1",
        "prompt": "3 + 3",
        "answer": "6"
      },
      {
        "id": "d",
        "objectiveId": "O2",
        "prompt": "4 - 1",
        "answer": "3"
      },
      {
        "id": "e",
        "objectiveId": "O2",
        "prompt": "5 - 2",
        "answer": "3"
      }
    ],
    "objectives": [
      {
        "id": "O1",
        "count": 2
      },
      {
        "id": "O2",
        "count": 1
      },
      {
        "id": "O3",
        "count": 0
      }
    ],
    "minimumItemsPerObjective": 1,
    "seed": 42
  },
  "output": {
    "items": [
      {
        "id": "a",
        "objectiveId": "O1",
        "prompt": "1 + 1",
        "answer": "2"
      },
      {
        "id": "b",
        "objectiveId": "O1",
        "prompt": "2 + 2",
        "answer": "4"
      },
      {
        "id": "e",
        "objectiveId": "O2",
        "prompt": "5 - 2",
        "answer": "3"
      }
    ],
    "coverage": {
      "objectiveIds": [
        "O1",
        "O2",
        "O3"
      ],
      "itemCounts": [
        2,
        1,
        0
      ],
      "uncoveredObjectiveIds": [
        "O3"
      ],
      "coveragePercent": 66.66666666666666
    },
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

Enough items per objective are required. Requested quotas need not meet minimumItemsPerObjective, so inspect coverage rather than assuming success means adequate coverage. Item correctness, difficulty, and assessment validity are not evaluated.
A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

Tool behavior and example: Random Assessment Item Sampler Generator — tool.io
Calculation or validation: pedagogy/assessment-blueprint-coverage — tool.io

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