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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.
Dataset categoryDescriptionExamples
Academic StandardsHierarchical structures of state or national learning goals.CASE Network 2 ↗‘s state standars
Learning ComponentsAcademic Standards broken down into concrete skills or concepts.Achievement Network’s learning components for K-12 math ↗
Learning ProgressionsLogical and usually sequential ordering of learning targets.Student Achievement Partners’ Coherence map ↗
CurriculumLessons, activities, materials, and assessments from publishers.IM v.360® ↗
Knowledge Graph datasets are modeled as graphs, using entities (the elements in the dataset) and relationships (how these elements are connected).

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When to use Knowledge Graph

Use caseDescriptionExamples
Align content to standardsCreate content rooted in Academic Standards and learner competencies across subjects.Replace fragmented infrastructure with a single, trusted source of standards data:
  • Populate a standards menu (i.e., 50 states across subjects)
  • Use standards as context when generating AI outputs
  • Integrate standards data with your CMS
Plan instructional contentUse dependencies (Learning Progressions) and granular skills (Learning Components) to inform instructional content and plans.
  • Group students more effectively by looking at the skills they’ve mastered
  • Give each student their own instance of a knowledge model graph, with a score for each node (Learning Component)
  • Build a teachers dashboard that gives grounded AI recommendations on lesson plans and identifies gaps in prerequisite skills
  • Give more precise feedback
Compare standards across statesUse Standards Crosswalks to adapt content aligned to one state standard to other states’.Outsource the burden of managing standards across states:
  • Align content across all states you serve
  • Reduce maintenance burden on internal systems
  • Share content across state lines with automatic remapping to local standards
Align content to curriculum Create or use educational materials that are aligned to official curricula

Contact us ↗ to get access to this gated functionality.
  • Feed lesson narratives, instructional routines, and Learning Components into LLM prompts to generate parent-facing activities
  • Map student performance data to standards
  • Use IM misconceptions to generate differentiated lesson plans and support RTI workflows
Deliver personalized assessmentsBuild adaptive experiences that go beyond content delivery into diagnostic assessment.
  • Combine curricular data with student data to help teachers plan targeted weekly interventions
  • Combine Academic Standards and Learning Components with student data to prepare teachers for observation and coaching

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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.
Access methodWhen to use
Local filesFor offline access, custom processing, or complex queries across graph databases, relational systems, in-memory tools, and AI pipelines. Preserves the structure of entities and relationships, and supports both deterministic joins and AI workflows like embeddings or RAG.
REST APIFor real-time programmatic access to data in an application
MCP serverFor using natively with an LLM
Claude connectorFor using Knowledge Graph directly with the Claude app
We are continuing to expand these access patterns. Contact support@learningcommons.org ↗ to request other methods that would be useful for your workflows.