@EdWorkingPaper{ai25-1317,
title = "A Framework for Building High-Quality Education Data for R&D in the Age of AI: The EDSI Dataset and Expert Insights",
author = "Jing Liu, Brendon Krall, Sarah Montana, Ting-Yu Ariel Chung, Heather C. Hill",
institution = "Annenberg Institute at Brown University",
number = "1317",
year = "2025",
month = "October",
URL = "http://www.edworkingpapers.com/ai25-1317",
abstract = {The Gates Foundation, the Walton Family Foundation, and the Chan Zuckerberg Initiative have launched a series of collaborative investments in building large-scale datasets that can support and accelerate data infrastructure for AI R&D efforts in education. In partnership with researchers from Harvard University and Stanford University, the Center for Educational Data Science and Innovation (EDSI) at the University of Maryland is leading an unprecedented effort to build a benchmark classroom dataset between 2025 and 2027. This dataset will be collected and processed in a way that enables model training, benchmarking, tool-building and deeper research into teaching and learning processes.},
}