“We are building the shared technical infrastructure needed to develop learning science-based AI approaches,” said Jeremy Roschelle, Director of the Infrastructure Program. “Our vision for this work was shaped by input from educators, developers, and researchers through our request for information and market research. While the learning sciences have firmly established that well-implemented formative assessment can have powerful impacts on learning, formative assessment can be difficult to implement. By making public goods freely available to all educational products, we aim to enable state-of-the-art formative assessment practices across the board.”
The K-12 AI Infrastructure Program, a multi-year initiative led by global education nonprofit Digital Promise, aims to bridge the gap between the scientific principles of teaching and learning and the growing potential of artificial intelligence. Core partners include Learning Data Insights, DrivenData, Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE.
“We’re seeing huge energy among innovative developers to use AI as they incorporate adaptive formative assessment in their products and services,” said John Gamba, Director of Innovative Programs at Penn GSE. “We see companies participating in this project in two ways; first, by responding to the RFP and proposing innovative datasets, models or benchmarks for public good, and second, by incorporating the resulting public goods into their development work going forward.”
The review process will bring together funding partners, edtech developers, researchers, and practitioners to ensure a rigorous and collaborative evaluation. After an initial review of submitted proposals, selected recipients will be announced in April. Additional funding opportunities will be announced later in 2026.
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