LMS Course Shell Week One Setup Checklist

Caller independently verified course module/navigation/access/contact requirements, not LMS usability or learner access certification. Independently declared positive evidence requirements; overlaps and unknowns retained. Caller independently verifies learner/context/evidence and reference edition; not causal learning efficacy, disability eligibility or educational certification.

Description

A course shell can be checked against declared navigation, access and contact requirements.

A course shell can be checked against declared navigation, access and contact requirements.^[1]

This tool compares your positive evidence requirements with known observations and keeps unknown evidence visible.

When to use LMS Course Shell Week One Setup Checklist

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 LMS Course Shell Week One Setup Checklist and understand its results

Establish the learning task, observed evidence and applicable framework or policy edition.
Enter callerLmsReadinessClassIds, callerLmsReadinessRequirements, observedLmsReadinessEvidence, knownLmsReadinessFlags, using the field meanings and rules below, then run the tool.
Read compatibleCallerClasses, fullyWitnessedCallerClasses. 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
callerLmsReadinessClassIds	Caller lms readiness class ids	list of string	Required
callerLmsReadinessRequirements	Caller lms readiness requirements	numeric matrix	Required
observedLmsReadinessEvidence	Observed lms readiness evidence	list of number	Required
knownLmsReadinessFlags	Known lms readiness flags; binary 1 means the matched observation is known, 0 means unknown	list of number	Required

Use unique nonblank class IDs and a nonempty binary requirement matrix aligned by class and evidence column. Every class must require at least one positive feature. A one requires presence; zero ignores the feature and does not require absence. Supply binary observed evidence and known flags. A known required zero excludes a class; an unknown required feature retains compatibility but prevents full witnessing. Return all compatible classes and the subset with every required feature known and present. Classes may overlap.

compatible_c=∀j(requirement_cj=0 or known_j=0 or evidence_j=1); witnessed_c=∀j(requirement_cj=0 or (known_j=1 and evidence_j=1))

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

Output field	Meaning	Value type
compatibleCallerClasses	Compatible caller classes	list of string
fullyWitnessedCallerClasses	Fully witnessed caller classes	list of string

json

{
  "input": {
    "callerLmsReadinessClassIds": [
      "a",
      "b"
    ],
    "callerLmsReadinessRequirements": [
      [
        1,
        0
      ],
      [
        0,
        1
      ]
    ],
    "observedLmsReadinessEvidence": [
      1,
      0
    ],
    "knownLmsReadinessFlags": [
      1,
      0
    ]
  },
  "output": {
    "compatibleCallerClasses": [
      "a",
      "b"
    ],
    "fullyWitnessedCallerClasses": [
      "a"
    ]
  }
}

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. Compatible classes with unknown evidence are not positive identifications. Fully witnessed classes satisfy only the declared positive requirements.

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 First Day of Class Activity Syllabus Quiz Bank: First-day activities and syllabus questions depend on the actual course expectations. For a complementary comparison, use UDL Three Principles Representation Action Engagement Matrix: Universal Design for Learning groups support under engagement, representation, and action and expression.

References

LMS Course Shell Week One Setup Checklist — tool.io

Similar or alternative tools

First Day of Class Activity Syllabus Quiz Bank
First-day activities and syllabus questions depend on the actual course expectations.
UDL Three Principles Representation Action Engagement Matrix
Universal Design for Learning groups support under engagement, representation, and action and expression.