Learning Commons Knowledge Graph

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What is Knowledge Graph?

Knowledge Graph is a structured collection of enriched educational datasets that connects academic standards, curricula, and learning science data. Datasets are modeled as graphs made up of entities (the elements in a dataset) and relationships (how those elements connect).

Knowledge Graph datasets use a standardized schema, so that edtech developers can build AI-powered tools without having to build a data pipeline themselves.

Check out common use cases and tutorials for Knowledge Graph.

Access Knowledge Graph

Knowledge Graph is database-neutral and interoperable. Start with the Quickstart, or pick an access method:

Access method	When to use
Knowledge Graph Explorer	For visually exploring Knowledge Graph datasets in the browser
Agent plugins	For asking ChatGPT or Claude about Knowledge Graph data
Local files	For offline access and custom processing of Knowledge Graph data — download all data using curl, or download by dataset using the Dataset catalog ↗ Can be used across graph databases, relational systems, in-memory tools, and AI pipelines without requiring any specialized infrastructure
REST API	For real-time programmatic access to Knowledge Graph data in an application
MCP server	For using Knowledge Graph data natively with an LLM

Datasets

Knowledge Graph datasets are grouped into categories. Each category shares a schema. Each dataset covers a specific educational domain and includes one or more file downloads.

Download a dataset from its docs page below, or from the Dataset catalog. To download the full graph as JSONL (nodes.jsonl and relationships.jsonl), see Local files.

Access types: Open (freely downloadable), Open + Gated (some downloads open, others require approval), and Gated (approval required — contact support@learningcommons.org).

Standards

Schema reference

Official expectations for student learning across academic subjects and jurisdictions, plus durable skills and learner competencies. Schema: Standards.

Dataset	Access	Downloads
U.S. academic standards	Open	Math, ELA, Social Studies, Science
U.S. academic standards crosswalks	Open	Math crosswalks, ELA crosswalks
English Language Development Standards Framework	Open	WIDA ELD Standards Framework
XQ Competencies	Open	XQ Competencies
Carnegie Skills Progressions	Open	Carnegie Skills Progressions

Learning components

Schema reference

Granular skills or concepts that break academic standards into teachable parts. Schema: Learning components.

Dataset	Access	Downloads
Math learning components	Open	Math learning components
ELA learning components	Open	ELA learning components
Eedi Misconceptions Graph	Open	Eedi Misconceptions Graph

Learning progressions

Schema reference

How standards build towards and relate to each other. Schema: Learning progressions.

Dataset	Access	Downloads
Math Coherence Map	Open	Math Coherence Map

Curriculum

Schema reference

Standards-aligned lessons and assessments from a publisher. Schema: Curriculum.

Dataset	Access	Downloads
IM® v.360	Open + Gated	Scope and sequence (Open); Instructional materials (Gated); Assessment materials (Gated)
OpenSciEd	Gated	OpenSciEd curriculum (Gated)

Instructional guidance

Schema reference

Grade- and subject-specific learner profiles, research-backed factors, and instructional strategies. Schema: Instructional guidance.

Dataset	Access	Downloads
Learner Variability Navigator	Gated	Math models; Literacy models
English Learners Success Forum Guidelines	Open	Math guidelines; ELA guidelines; Science guidelines

Additional resources

• Use cases
• Core concepts
• Tutorials
• REST API

License

Use of Knowledge Graph is subject to our Terms of Use.

Knowledge Graph datasets are not all licensed the same way. Each dataset (and sometimes each download) is labeled Open, Open + Gated, or Gated:

• Open — Typically CC BY 4.0 (attribution required) or CC0
• Open + Gated — Includes both Open and Gated downloads (e.g., the IM® v.360 dataset's Scope and sequence is Open, while Instructional materials and Assessment materials are Gated)
• Gated — Not covered by an open license; requires approval and separate licensing agreement from the publisher

For the terms that apply to a specific dataset or download, reference that dataset’s page and the license docs.

Support

Questions or feedback: open an issue or email support@learningcommons.org. See also Support and release notes.

To report a security issue, contact security@learningcommons.org.