What Knowledge Graph does
Knowledge Graph provides a structured collection of enriched educational datasets that connects academic standards, curricula, and learning science data. It standardizes high-quality datasets with a unified schema, allowing edtech developers to focus on building AI-powered educational tools.
Knowledge Graph datasets are modeled as graphs, using entities (the elements in the dataset) and relationships (how these elements are connected).
Explore Use cases
for for Knowledge Graph when aligning standards, planning instructional
content, or comparing academic standards across state lines.
How to access Knowledge Graph
Knowledge Graph is accessible in a variety of ways and is designed to be database-neutral, lightweight, and interoperable. The local files in particular can be used across graph databases, relational systems, in-memory tools, and AI pipelines without requiring any specialized infrastructure.
We are continuing to expand these access patterns. Contact support@learningcommons.org ↗ to request other methods that would be useful for your workflows.
Related topics
Use cases
Explore standards alignment, planning, crosswalks, curriculum, and
assessment workflows.
Core concepts
Learn how entities, relationships, and UUIDs structure Knowledge Graph
datasets.
Quickstart
Get started with the REST API, MCP server, or downloadable JSONL files.