We’re building AI infrastructure tools to help edtech tools align more closely with teaching and learning best practices. Our tools focus on improving and evaluating LLM output to ensure AI-powered products are pedagogically sound, standards-aligned, and grounded in research.
Knowledge Graph: Improve the accuracy of AI outputs through a structured network of datasets across curricula, state academic standards, and learning science research. Developers can leverage the knowledge graph to improve accuracy, comprehensiveness, and instructional coherence.
Evaluators: Assess the instructional quality of educational AI outputs through research-backed educational rubrics and expert-designed scoring systems. With standardized evaluation frameworks and metrics, these tools help assess whether AI-generated content meets high standards of accuracy, pedagogical soundness, and effectiveness.
Learn more about our developer tools.
Check out our technical docs.
We want to hear from you. For questions or feedback, please open an issue in the repository or reach out to us at support@learningcommons.org.
Interested in joining our private beta or partnering with us to advance the public good of educational AI?
Join the waitlist to unlock exclusive access to datasets and evaluators, get early previews of integrations, and receive hands-on support from our team. Contact us.
If you believe you have found a security issue, please responsibly disclose by contacting us at security@learningcommons.org.
The resources provided in this repository are made available "as-is", without warranties or guarantees of any kind. They may contain inaccuracies, limitations, or other constraints depending on the context of use. Use of these resources is subject to our Terms of Use.
By accessing or using these resources, you acknowledge that:
- You are responsible for evaluating their suitability for your specific use case.
- Learning Commons makes no representations about the accuracy, completeness, or fitness of these resources for any particular purpose.
- Any use of the materials is at your own risk, and Learning Commons is not liable for any direct or indirect consequences that may result.
Please refer to each resource’s README, license, and associated docs for any additional limitations, attribution requirements, or guidance specific to that resource.