UDL Three Principles Representation Action Engagement Matrix

UDL representation/action-expression/engagement actual support matrix count with unknown implementation, not accessibility, learner need or efficacy certification. Caller independently verifies learner/context/evidence and reference edition; not causal learning efficacy, disability eligibility or educational certification.

Description

Universal Design for Learning groups support under engagement, representation, and action and expression.

Universal Design for Learning groups support under engagement, representation, and action and expression.^{[1, 2]}

This matrix counts known supports by principle while keeping unverified implementations separate.

When to use UDL Three Principles Representation Action Engagement Matrix

Use this tool to calculate or review the supplied observations under the stated rules. Establish the learning task, observed evidence and applicable framework or policy edition.

How to use UDL Three Principles Representation Action Engagement Matrix and understand its results

Establish the learning task, observed evidence and applicable framework or policy edition.
Enter callerSupportIds, callerAnnotatedUdlPrinciples, knownSupportImplementationFlags, using the field meanings and rules below, then run the tool.
Read knownImplementedCountsByPrinciple, unverifiedSupportIds. Inspect nested result fields where present, and review unknown records separately from known matches.
Correct any reported input issue and run again. Before using a successful result, check the stated units, signs, reference scope and observation coverage.

Input field	Meaning	Value type	Requirement
callerSupportIds	Caller support ids	list of string	Required
callerAnnotatedUdlPrinciples	Caller annotated udl principles	list of string	Required
knownSupportImplementationFlags	Known support implementation flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Use unique nonblank support IDs, one exact principle token per ID, and aligned binary implementation-known flags. Count only rows flagged one into the fixed order representation, action-expression, engagement; return IDs flagged zero separately. A known flag records implementation knowledge, not whether a learner benefited.

count_p=Σ_i[principle_i=p and known_i=1]

Use the matching field units and the exact boundary, ordering and reference rules above.

Output field	Meaning	Value type
knownImplementedCountsByPrinciple	Known implemented counts by principle	list of number
unverifiedSupportIds	Unverified support ids; unresolved records kept separate from known results	list of string

json

{
  "input": {
    "callerSupportIds": [
      "a",
      "b",
      "c"
    ],
    "callerAnnotatedUdlPrinciples": [
      "representation",
      "action-expression",
      "engagement"
    ],
    "knownSupportImplementationFlags": [
      1,
      0,
      1
    ]
  },
  "output": {
    "knownImplementedCountsByPrinciple": [
      1,
      0,
      1
    ],
    "unverifiedSupportIds": [
      "b"
    ]
  }
}

Limitations and assumptions

Supplied annotations and framework choices determine the result. The tool does not measure learning effects, assess learner intent or independently establish policy applicability.

Missing required fields, unknown fields, wrong types and violated rules return input issues. Numeric values and outputs must be finite. Lists and matrices must be dense, without missing cells. Numeric lists allow at most 10000 entries; ordinary string lists allow at most 128 strings of 128 UTF-16 units each; numeric matrices allow at most 128 rows and 128 columns, subject to narrower requirements above.

Alternative or Complementary methods

For a related step, use ELL Sentence Frames Language Scaffold Bank: Sentence frames provide language support for expressing ideas within a specific task and proficiency context. For a complementary comparison, use LMS Course Shell Week One Setup Checklist: A course shell can be checked against declared navigation, access and contact requirements.

References

UDL Three Principles Representation Action Engagement Matrix — tool.io
Universal Design for Learning — CAST

Similar or alternative tools

ELL Sentence Frames Language Scaffold Bank
Sentence frames provide language support for expressing ideas within a specific task and proficiency context.
LMS Course Shell Week One Setup Checklist
A course shell can be checked against declared navigation, access and contact requirements.