SRI International
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PARC Forum online: How to AI
Join us at SRI’s online PARC Forum to explore how AI is accelerating a new revolution in education
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Technical report: Psychometric properties of self-directed learning survey measures in broad access institution contexts
Abstract The Postsecondary Teaching with Technology Collaborative (the Collaborative) conducted secondary analyses of survey datasets to advance the conceptualization and measurement of self-directed learning (SDL) in higher education. Drawing on data from two of the Collaborative’s prior studies—the Institutional Policy and Practice (IPP) Study and the Rapid Cycle Evaluations (RCEs)—we examined how existing instruments used…
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Lessons Learned Estimating Impacts of Extreme Weather on District-Level Achievement
Abstract The study highlights limitations of using integrated district-level education and county-level weather event data to estimate effects of weather events on student achievement. Limitations included imprecise geographic linkage between weather events and school district, lack of detailed measures of event intensity, and confounding from pre-existing district differences and post-disaster population displacement. These issues may…
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Pedro Sequeira: Bridging the gap between humans and machines
Working in SRI’s AI Center, Sequeira creates autonomous systems that learn, reason, and adapt under uncertainty.
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Evaluation of the Career Connect Pathway Project. Final Report.
Abstract The Career Connected Pathways (CCP) project was designed to increase the number of high school students who graduate prepared to pursue high-wage, high-demand careers in computer science and cybersecurity. Launched in 2020 by the Center for the Future of Arizona (CFA) in partnership with Jobs for the Future and other intermediaries, and funded by the…






