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NEW EdWorkingPapers
Post-pandemic achievement recovery based on student characteristics and district-level policies
It is well-established that student achievement has declined dramatically since the onset of the COVID-19 pandemic. However, less is known how these patterns may vary by developmental timing of exposure to the pandemic and how district-level policies may have influenced student recovery.
Shine a Light: The U.S. Federal Government Should Increase Access to Educational Administrative Data
The Institute of Educational Sciences invested substantial resources into the Statewide Longitudinal Data Systems grant program. These grants helped states convert their educational records to longitudinal datasets for research and evaluation. However, external researchers still have unreliable access to these datasets. In this commentary, we argue that the U.S. federal government should use… more →
Leveraging complementarities between teachers' content knowledge and pedagogical supports: Experimental evidence from India
We evaluate whether pairing strong subject-matter knowledge with pedagogical supports can improve learning in public primary schools. In Pune, India, we randomly assigned grades within 48 schools to an intervention that recruited college students in science, technology, engineering, and math (“fellows”), supported them with training, coaching, and scripts, and had them partly replace math and… more →
Measures Still Matter: Replicating and Extending a Meta-Analysis of the Effects of Educational Apps on Children's Reading and Math Skills with Six Years of New Data
This study replicates and extends a meta-analysis of 36 studies of educational apps (Kim et al., 2021) with six years of new data. We synthesize 841 effect sizes from 141 studies evaluating the effectiveness of educational apps on reading and math skills of students ages 3-9. Replicating the original study, we find a moderate positive pooled effect size with substantial heterogeneity (d = .40… more →
How Colleges and Universities are Adopting AI in Higher Education: A Global Comparative Analysis
Artificial intelligence (AI) and generative AI have become central strategic priorities for universities worldwide, yet the extent to which institutions formally embed AI into their governance, academic, and policy structures remains unclear. This study examines the institutionalization of AI across a global sample of research universities drawn from the Times Higher Education 2026 World… more →
Evaluation Scores and Student Learning under Compulsory Teacher Re-Evaluation
We examine how lower-performing public school teachers respond to more frequent formative evaluations. A 2011 reform in Chile required teachers rated "basic" (the second-lowest category) to be re-evaluated after two years rather than four. Using nationwide administrative data on primary school teachers and students from 2005-2015, we show that the reform increased two-year re-evaluation rates… more →
Policy and Practice Series
EdTalks
Centering Teachers in the AI Era
What happens when teachers are treated as professional decision-makers, not just end users of AI tools?
Watch the conversation about the future of the teaching profession in an AI-enabled education system, grounded in two recent EdWorkingPapers.