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Part 2: AI Harnesses for Education: Why Do we need this Emerging Layer of AI Infrastructure

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Sixth-grade math teachers discuss their lessons during a team planning session.

Author: Pati Ruiz, Jordan Mroziak, Keun-woo Lee, Megan Pattenhouse In Part 1 of this series, we introduced AI harnesses as the technical layer that helps translate model capabilities into system behavior. For educational applications, this distinction matters because systems optimized for general-purpose assistance may not be optimized for learning. This post examines why harness-level mechanisms … Read more

Part 1: AI Harnesses for Education: What is this Emerging Layer of AI Infrastructure?

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Tenth-grade boy and girl work on computer in workshop Tenth graders work together on research for a project.

Author: Pati Ruiz, Jordan Mroziak, Keun-woo Lee, Megan Pattenhouse In an age where budgets are tightening and there is more work on an educator’s plate, there are clear areas of promise where Artificial Intelligence (AI) could automate processes and lighten educator’s loads. However, the inconsistency in the reliability, accuracy and privacy of AI models, as … Read more

The Responsible AI and Tech Justice Guide for K-12 Education

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Cover of Responsible AI and Tech Justice for K12 Education Report

From The Kapor Foundation by Shana V. White and Allison Scott, Ph.D. Download the Responsible AI and Tech Justice Guide for K-12 Education Amidst the debates on AI use in schools, its impacts on teaching and learning, and its potential for future job disruption, one fact remains clear: All students will need to be equipped … Read more

Access the Public Goods Scanner

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Landing page of the AI scanner showing various public goods in rows

Access the Scanner: Browse and filter K-12 AI resources including datasets, benchmarks, models, and competitions by grade level, academic subject, and source platform to evaluate and improve AI systems in education. Please share any resources you would like added to this database with k12ai-infrastructure [at] digitalpromise [dot] org

K-12 AI Infrastructure: Findings from Educator and Developer Outreach

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Cover image for report: Findings from Educator and Developer Outreach image of tall man lecturing in front of classroom

Authors: Rebecca Griffiths, Vanessa Peters Hinton, Shelton Daal, and Megan Pattenhouse https://doi.org/10.51388/20.500.12265/309 Abstract This report presents findings from the K-12 AI Infrastructure Program’s outreach to educators, edtech developers, and other stakeholders, conducted during late 2025 to mid-2026. It examines what educators want from AI tools, where current AI applications fall short, how education technology developers … Read more

The Effect of High-Frequency, Automatically-marked Formative Assessments on Student Outcomes in A-Level Sciences

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Authors: Matey Yordanov, Mikhail Bychkov, Andrei Kuchma Abstract: Traditional human marking in upper-secondary STEM education creates a structural bottleneck that restricts the frequency of formative mock examinations. This quasi-experimental, mixed-methods longitudinal study (N = 142) investigates the efficacy of deploying a fully automated, handwritten assessment marking platform to remove this bottleneck. Students preparing for STEM … Read more

Digital Promise Announces First Grantees of the K-12 AI Infrastructure Program

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Originally posted on By Digital Promise Blog on June 29, 2026 Digital Promise, alongside core partners Learning Data Insights, DrivenData, the Massive Data Institute at Georgetown University, and Catalyst @ Penn GSE, today announced the first grant recipients of the K-12 AI Infrastructure Program, a new $26 million multi-year initiative to improve how artificial intelligence … Read more

Formative Assessment and Public Goods for AI in Education

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Author: K-12 AI Infrastructure Program Team  Download a PDF copy of this Formative Assessment page Definition Formative assessment is a key aspect of many applications of AI to education. Through production of public goods (as defined in the Request for Proposals), the K-12 AI Infrastructure program seeks to aid developers of AI-enabled products and services. … Read more

Building the Future of EdTech: 5 Essential Reads from The Learning Agency

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Building high-quality AI-enabled edtech requires an adaptive understanding of open licensing, structured pipelines that involve humans, and leveraging the open-source benchmarks, datasets, and models already available to the community. If you are looking to learn more about building more responsible and effective AI-enabled edtech for education, here are resources from The Learning Agency to explore: … Read more