Bloom Two Dimension Coverage

Tabulate assessment items across Bloom cognitive and knowledge dimensions.

Description

Two-dimensional assessment coverage crosses cognitive and knowledge categories.

Two-dimensional assessment coverage crosses cognitive and knowledge categories. Counts summarize labels already assigned to items.^[1]

Tabulate assessment items across Bloom cognitive and knowledge dimensions.

When to use Bloom Two Dimension Coverage

Use this tool to tabulate assessment items across Bloom cognitive and knowledge dimensions.

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 Bloom Two Dimension Coverage 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 cognitiveLevels, knowledgeTypes, itemCognitiveLevels, itemKnowledgeTypes using the field table and calculation rules, then run the tool.
Read coverageMatrix, coveredCells. 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
cognitiveLevels	Cognitive levels	list of string	Required
knowledgeTypes	Knowledge types	list of string	Required
itemCognitiveLevels	Item cognitive levels	list of string	Required
itemKnowledgeTypes	Item knowledge types	list of string	Required

Enter nonempty distinct exact category axes and aligned item labels present on those axes. Return rows in cognitive order, columns in knowledge order and number of occupied cells. Empty item lists give a zero matrix.

matrix[a,b]=count(items labeled cognitive_a AND knowledge_b); coveredCells=count(matrix>0)

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

Output field	Meaning	Value type
coverageMatrix	Coverage matrix	list of list of number
coveredCells	Covered cells	number

json

{
  "input": {
    "cognitiveLevels": [
      "remember",
      "apply"
    ],
    "knowledgeTypes": [
      "factual",
      "conceptual"
    ],
    "itemCognitiveLevels": [
      "remember",
      "apply",
      "apply"
    ],
    "itemKnowledgeTypes": [
      "factual",
      "conceptual",
      "conceptual"
    ]
  },
  "output": {
    "coverageMatrix": [
      [
        1,
        0
      ],
      [
        0,
        2
      ]
    ],
    "coveredCells": 2
  }
}

Limitations and assumptions

No fixed Bloom category dictionary, automatic item classification or required distribution is embedded. Keep axes small enough for matrix output limits.

Numeric inputs must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Lists are limited to 100,000 entries; the rules above may require smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Assessment Blueprint Coverage: Audit test-item counts against objectives and a caller-selected coverage minimum. For a complementary task, use Curriculum Standards Alignment: Audit which curriculum standards have lesson alignments and report coverage.

References

Bloom Two Dimension Coverage — tool.io

Similar or alternative tools

Assessment Blueprint Coverage
Audit test-item counts against objectives and a caller-selected coverage minimum.
Curriculum Standards Alignment
Audit which curriculum standards have lesson alignments and report coverage.