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Our developer tools are open, research-backed resources that help edtech developers build more accurate, instructionally grounded AI products. These tools provide access to high-quality educational datasets through our Knowledge Graph and enable rigorous output evaluation with our Evaluators.

Quick start

KG

Knowledge Graph

Improve AI accuracy in instructional text using a structured network of curriculum, academic standards, and learning science.
Evals

Evaluators

Assess the quality of AI-generated content for literacy, focusing on grade level, sentence structure, and vocabulary.

Knowledge Graph

Academic Standards

Align your product content to be instructionally aligned, context-aware, and adaptable across diverse state requirements.

Curriculum

Ensure content alignment to core curricula like Illustrative Mathematics — with EL Education and OpenSciEd coming soon.

Learning Progressions

Identify prerequisite skills and logical instructional sequences across grade levels.

Learning Components

Break down standards into granular skills and enable mapping to other datasets.

Evaluators

Sentence Structure

Estimate how difficult a text will be for a student to read, based on sentence structure.

Vocabulary

Estimate how difficult a text will be for a student to read, based on vocabulary.

Grade Level Appropiateness

Evaluate the vocabulary in texts to determine if it matches the intended grade level.

Connect with us

Help

We’re here to help with any questions. Reach out to us at support@learningcommons.org.

Learn more

Connect with our team to explore more or get early access to additional datasets.