Second Cohort of Grantees of the K-12 AI Infrastructure Program
“This accomplished cohort of researchers, educators, and technologists is coming together to solve important challenges in the development of AI-enabled tools for formative assessment that center pedagogical and learning goals while meeting the needs of a diverse group of educators and learners,” said Pati Ruiz, director of learning technology research at Digital Promise. “I am inspired by this cohort of grantees who are already engaging with one another to develop solutions for common challenges.”
The K-12 AI Infrastructure Program has selected a second cohort of grant recipients, prioritizing the development of tools that strengthen formative assessment in writing, reading, and mathematics. The created outputs will be openly licensed and freely available for use across the education field. Recipients include:
First Cohort of Grantees of the K-12 AI Infrastructure Program
“The projects chosen for funding are applying advanced data science approaches, often proven in other fields, in education contexts,” said John Whitmer, senior researcher and founder of Learning Data Insights. “It was a difficult selection given the depth and breadth of responses that we received, and I look forward to seeing the public goods emerge from these projects for the field.”
Following a competitive review process that brought together funders, researchers, developers, and educators, four organizations were selected to receive grants for projects lasting six to 12 months. All outputs will be openly licensed and freely available for use across the education field.
This initiative is supported by Learning Commons, Charles and Lynn Schusterman Family Philanthropies, Gates Foundation, Overdeck Family Foundation, Valhalla Foundation, and Walton Family Foundation. These projects reflect the range of ways AI could better support teaching and learning. Each project is designed with a focus on students and communities who have been historically underserved. Over four years, the program will continue to fund the development of these shared public goods to improve quality, relevance, and trustworthiness of AI in education.
Our team will be making additional grants in coming months and years, with a total of approximately 30 grants expected in the life of the program.