Learning Commons

🎥Check out Sandra Liu Huang on scaling learning science research and educator expertise with open AI infrastructure. Through powerful partnerships with organizations like Achievement Network (ANet) and Student Achievement Partners, Learning Commons is creating building blocks that help ensure AI tools truly reflect how students learn. 📺 Watch the full conversation with Edtech Insiders to learn how we’re working to bring evidence-based teaching and learning practices to every classroom: https://lnkd.in/eyH9vYFa #Edtech  #EducationLeadership #DataDrivenInstruction #Partnership #StudentSuccess #StrategicAchievementPartners

Since 2022, we have been proud to partner with Instructure to pilot new ideas, co-build tools, and develop pathways for innovation to support educators and students. "At Instructure, we deeply value our partnership with Learning Commons in advancing innovative solutions that strengthen K–12 teaching and learning. Their leadership in open standards and shared infrastructure has been a positive force in 1EdTech and the broader ecosystem, accelerating collaboration among educators, developers, and providers. We’re proud to work together to ensure technology evolves to meet the unfolding needs of teaching and learning."  Melissa Loble, Chief Academic Officer, Instructure and Board Chair, 1EdTech

Tracking changes to standards across 50 states is a big challenge. Knowledge Graph enables Carnegie Learning to seamlessly integrate up-to-date state standards and skills into its learning platform. “We’re excited about the opportunity to leverage AI and the Knowledge Graph Initiative to connect math skills and standards across educational software and curricula. By mapping these skills, we can accelerate innovation and create more coherent and effective learning experiences for students and their teachers.” Dr. Steve Ritter, Carnegie Learning, Chief Scientist and Co-Founder

Playlab AI is one of our early private beta partners for Knowledge Graph and Evaluators. Their feedback has helped us refine these tools to meet the needs of classroom teachers. “Learning Commons is making it easier for developers to build applications that are more robust and rigorous and in turn making it easier for educators and kids to do the kind of things that really advance teaching and learning." After months of iteration and testing and rolling out Knowledge Graph within Playlab, we’re seeing much higher quality outputs that are more accurate and aligned to the robust Illustrative Mathematics pedagogy.” - Yusuf Ahmad, CEO

1EdTech Consortium’s learning standards database ensures that Knowledge Graph integrates the latest standards from all 50 states in four core subjects: English, math, science, and social studies. “1EdTech seeks partners across the ecosystem who can deploy community-developed standards in innovative and high-value ways. The Chan Zuckerberg Initiative’s Learning Commons exemplifies this collaboration by leveraging multiple 1EdTech standards, including CASE, to build public infrastructure for K–12 education. We’re proud to see our standards reducing complexity, expanding innovation, and, through partners like Learning Commons, positively impacting teaching and learning by making these solutions more accessible to both edtech providers and educational institutions.“ –Curtiss Barnes, CEO

Achievement Network (ANet) led the development of datasets for the Knowledge Graph, which connect curriculum, assessments, and instructional materials, enabling teachers to better support each student’s needs. “We are really proud to be partnering with Learning Commons on building the next generation of developer tools. We need to ensure that the edtech products we're putting into classrooms and in front of our young people are not just technically impressive, but also instructionally sound. We know that there are years of research and best practices we've seen from teachers and practitioners across the country that should inform how we think about the tools they need to bring their best selves to work every day."-Osarugue “Michelle” Odemwingie,  Chief Executive Officer, ANet

Our partner, Student Achievement Partners, has created a dataset that maps every skill students need to master and draws routes between each skill and knowledge acquisition for different learning journeys. This dataset is now accessible through Knowledge Graph! “We're excited to work with Learning Commons to explore how the Student Achievement Partners Coherence Map - designed to help educators visualize the interconnected pathways of math learning - might be reimagined as a machine-readable framework that could guide edtech developers toward building products that respond to students the way experienced math teachers do.” Joy Delizo-Osborne, President & CEO at Student Achievement Partners

We also worked with Anthropic to integrate Knowledge Graph with Claude as a Connector 💡 Six in ten teachers use AI for school – from preparing lessons to creating classroom activities and modifying materials to meet student needs. But to truly support high-quality instruction, generative AI needs more context about how and what students learn at each grade level. That’s why we built a custom model context protocol (MCP) server that connects Knowledge Graph to Claude. Now educators get responses that reflect state academic standards, learning progressions, and learning science research that is embedded into Knowledge Graph. 👉Learn more about what edtech developers can do with Knowledge Graph: https://lnkd.in/dZwQ8wvM

We are thrilled to announce the early release of Knowledge Graph and Evaluators! These resources are part of our work to scale proven teaching and learning practices to benefit every learner 🏫 Openly licensed and built with educators (and the developers they rely on) in mind, they help ensure AI tools truly reflect how students learn. Knowledge Graph improves the accuracy of content generated by AI-powered tools. It includes:   ✅ Academic standards from all 50 states in four core subjects — English, math, science, and social studies ✅ Learning components that break the math standards into smaller skills and concepts ✅ Datasets to connect components and standards to one another, so AI systems can understand education as a progression of ideas with certain pathways and prerequisites Evaluators help ensure AI-generated text is accurate, rigorous, and consistent. Our first Evaluators: ✅ Focus on literacy for students in 3rd and 4th grades ✅ Read AI-generated text and evaluate the complexity of vocabulary and sentence structure ✅ Anchor on a dataset built in partnership with Student Achievement Partners — authors of the gold-standard SCASS rubric — and literacy experts at Achievement Network 👉 Learn how Knowledge Graph and Evaluators can help you make a greater impact for teachers and students: https://lnkd.in/dZwQ8wvM