New Grantees Awarded by the K-12 AI Infrastructure Program - Digital Promise

New Grantees Awarded by the K-12 AI Infrastructure Program

Asian and Black female faculty meeting around a table in a meeting room on a college campus.

September 21, 2026 | By

The K-12 AI Infrastructure Program, a $26 million multi-year initiative shaping how artificial intelligence (AI) is designed and used in K-12 classrooms, has selected recipients for its second cohort of grant recipients.

Expanding on the inaugural cycle, this prioritizes tools that strengthen formative assessment—giving educators better, real-time insights during classroom discussions, written work, problem-solving activities, and other everyday practices. This phase also deepens investment in academics by funding returning applicants dedicated to math, literacy, and writing.

“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 developing community and engaging with one another to develop solutions for common challenges.”

Following a competitive review process that brought together funders, researchers, developers, and educators, Digital Promise and its partners selected eight organizations to receive grants for projects lasting six to 12 months. The created outputs will be openly licensed and freely available for use across the education field.

Recipients include:

  • Maine Mathematics & Science Alliance (MMSA) & Technical Education Research Centers (TERC), Heidi Cian & Ibrahim Dahlstrom-Hakki
    • A Multimodal Dataset for AI-Enhanced Formative Assessment of Additive-to-Multiplicative Reasoning: AMR Pilot
  • University of Maryland College Park, Jing Liu
    • Enhancing Two Multimodal Classroom Datasets to Advance R&D on Formative Assessment
  • Harvard University, Ying Xu
    • OpenLiteracy: An Open-Source AI Infrastructure Suite for Advancing Speech Foundation Models for Early Word Reading Assessment and Instruction
  • National Trail Local School District, Brian Pool
    • Privacy-Preserving, Discipline-Specific AI Writing Feedback: A Public Good for Under-Resourced Rural Districts
  • University of Florida, Walter Leite
    • The Storiza Corpus of Early Reader Story Recordings: A Dialect-Inclusive Speech Dataset for Reading Technology Development
  • University of Pittsburgh, Xiang Li
    • Comprehensive Multimodal Writing and Feedback Dataset
  • Quill.org, Peter Gault
    • The “Productive Coaching” Benchmark: Validating Coaching Quality in Student-Facing, AI-Powered Learning Tools
  • Playlab, Yusuf Ahmad
    • Building a Proof-of-Concept Dataset for AI-Enabled Formative Writing Feedback in Science: Validating Critical Thinking Through Claims, Evidence, and Reasoning

Learn more about these projects on our website. Digital Promise, alongside core partners Learning Data Insights, DrivenData, the Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE will continue funding these shared public goods to advance quality, relevance, and trustworthiness of AI in education through the K-12 AI Infrastructure Program. The next Request for Proposals will launch later this fall.

Sign Up For Updates! Email
Loading...