Discussion Rubric Score

Score asynchronous discussion criteria and flag low-scoring rubric dimensions.

Description

A discussion rubric score aggregates already assigned points and identifies dimensions below a selected fraction.

A discussion rubric score aggregates already assigned points and identifies dimensions below a selected fraction. Different criterion maxima remain explicit in the total.^[1]

Score asynchronous discussion criteria and flag low-scoring rubric dimensions.

When to use Discussion Rubric Score

Use this tool to score asynchronous discussion criteria and flag low-scoring rubric 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 Discussion Rubric Score 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 criteria, earnedPoints, possiblePoints, minimumCriterionFraction using the field table and calculation rules, then run the tool.
Read totalPoints, maximumPoints, belowTargetCriteria. 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
criteria	Criteria	list of string	Required
earnedPoints	Earned points	list of number	Required
possiblePoints	Possible points	list of number	Required
minimumCriterionFraction	Minimum criterion fraction	number	Required

Enter nonempty distinct exact criteria, aligned earned/possible lists with positive maxima and earned within 0…maximum, plus minimum fraction in 0–1. Return totals and below-target labels. Equality is not flagged.

total=Σearned; maximum=Σpossible; below if earned_i/possible_i<minimum

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

Output field	Meaning	Value type
totalPoints	Total points	number
maximumPoints	Maximum points	number
belowTargetCriteria	Below target criteria	list of string

json

{
  "input": {
    "criteria": [
      "evidence",
      "respect"
    ],
    "earnedPoints": [
      3,
      2
    ],
    "possiblePoints": [
      4,
      4
    ],
    "minimumCriterionFraction": 0.6
  },
  "output": {
    "totalPoints": 5,
    "maximumPoints": 8,
    "belowTargetCriteria": [
      "respect"
    ]
  }
}

Limitations and assumptions

No discussion text is graded and no criterion weight beyond its maximum is added. Scoring reliability and assessment validity require separate review.

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 Rubric Descriptor Matrix: Build a criterion-by-performance-level rubric from caller descriptors. For a complementary task, use Grade Weight Validator: Check whether gradebook category weights sum to 100% within tolerance.

References

Discussion Rubric Score — tool.io

Similar or alternative tools

Rubric Descriptor Matrix
Build a criterion-by-performance-level rubric from caller descriptors.
Grade Weight Validator
Check whether gradebook category weights sum to 100% within tolerance.