LElearningcommons
Learning components
Search

Search learning components

Changed on

<Warning>This endpoint is for free-text semantic search across learning component descriptions. To retrieve learning components for a specific standard, use Components for a standard instead.</Warning>

Searches for LearningComponents using semantic search against learning component descriptions.

Results are ranked by relevance to the query text and include a score reflecting vector similarity. Use the optional academicSubject filter to narrow results to a specific subject area.

Use this endpoint when you need to:

  • Find learning components relevant to a specific skill or concept
  • Discover granular instructional targets related to a teaching goal
  • Search for LCs to map to your own content or assessments

Related topics:

  • Understanding Learning components
  • Available LC coverage by subject and state
get/learning-components/search

Request

  • Base URL
    https://api.learningcommons.org/knowledge-graph/v0
  • URL
    https://api.learningcommons.org/knowledge-graph/v0/learning-components/search
  • Auth
    API key in header x-api-key

Query parameters

querystring required

Free-text query for semantic search against learning component descriptions

academicSubject'English Language Arts' | 'Mathematics' | 'Science' | 'Social Studies' | 'Other'

Academic subject area

limitinteger

Maximum number of results to return

Response

Successfully retrieved search results (ranked by relevance)

identifierstring required

Unique identifier for the resource in Knowledge Graph

descriptionstring nullable

Description of the specific skill or concept represented

authorstring required

Author or creator of the resource

providerstring required

Source data provider for the resource

licensestring uri required

URL to the resource's license document

attributionStatementstring required

Statement that acknowledges the resource's author and provider, as required by the CC BY 4.0 license

scorenumber float required

Relevance score between 0 and 1 (reflects vector similarity for semantic search)

Changes