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  • Beginning a New Chapter at the National Center for Education Statistics

    Beginning a New Chapter at the National Center for Education Statistics

    Jun 5, 2026

    —

    By

    Tom Snyder

    in Education Policy, Federal Education Data, Project Leadership

    Improving the efficiency and effectiveness of NCES requires thoughtful discussions.


  • The Merits of Watching the Grass Grow: How Longitudinal Studies Bear Real Fruit

    The Merits of Watching the Grass Grow: How Longitudinal Studies Bear Real Fruit

    May 3, 2026

    —

    By

    Jodi Jacobson Chernoff

    and

    Shannon Russell

    in Assessment, Data Preservation, Early Childhood Education, High School, Middle school

    Longitudinal studies are the deep‑rooted work that yields the clearest picture of how learning unfolds over time.


  • From Concepts to Decisions: The Gap in Financial Literacy Education

    From Concepts to Decisions: The Gap in Financial Literacy Education

    Apr 29, 2026

    —

    By

    Anindita Sen

    in Assessment, High School

    Expanding financial literacy education has improved access, but many U.S. students still struggle to apply what they know to real-world financial decisions. Bridging the gap between knowledge and application requires more real-world, scenario-based learning that helps students use what they…


  • Nurturing What We Invest In: Listening, Learning, and Evaluating During Universal Pre‑K and Child Care Expansion

    Nurturing What We Invest In: Listening, Learning, and Evaluating During Universal Pre‑K and Child Care Expansion

    Mar 12, 2026

    —

    By

    Jodi Jacobson Chernoff

    in Early Childhood Education, Evaluation

    In Part 2 of our series on universal child care and PreK expansion, we look at how real‑time feedback from staff and families strengthens quality and keeps programs aligned with community needs.


  • Explore a computational thinking task from the International Computer and Information Literacy Study

    Mar 9, 2026

    —

    By

    Linda Hamilton

    in Assessment, International data, Middle school

    Computers are everywhere and the ability to use digital technologies is increasingly important for success at school and work. This blog offers readers an opportunity to solve a computational thinking task taken from ICILS.


  • What lies beneath? Why data disaggregation matters

    Jan 27, 2026

    —

    By

    Maura Spiegelman

    in International data, Schools, Test and Survey

    In today’s data-driven world, the way we analyze and interpret data can significantly impact decision-making and policy development. Disaggregating data allows us to uncover hidden trends and disparities that may be masked in aggregated statistics. This is especially vital in…


  • Testing Student AI Literacy Around the Globe: ICILS 2028

    Testing Student AI Literacy Around the Globe: ICILS 2028

    Jan 5, 2026

    —

    By

    Linda Hamilton

    in Assessment, International data, Middle school, Reporting

    In Agora Education Research’s recent blog on the International Computer and Information Literacy Study (ICILS), Linda Hamilton wrote about the study’s role in measuring digital literacy among 8th graders internationally.  The study conducted by the International Association for the Evaluation…


  • Seeds of Opportunity: Growing Universal Pre-K and Child Care Wisely

    Seeds of Opportunity: Growing Universal Pre-K and Child Care Wisely

    Dec 18, 2025

    —

    By

    Jodi Jacobson Chernoff

    in Early Childhood Education, Evaluation, State and District

    Early childhood is the time to ensure that children are on the road to success. Investing in early childhood works, but only if done right.


  • Using NAEP for Academic Benchmarking

    Using NAEP for Academic Benchmarking

    Dec 1, 2025

    —

    By

    Kathleen Flanagan

    in Assessment, Test and Survey

    Education agencies face different choices when determining achievement levels on new and existing assessment systems: What should students know and be able to do to meet the proficiency standard?


  • Fast AND good? Comparing preliminary and final survey estimates

    Fast AND good? Comparing preliminary and final survey estimates

    Nov 17, 2025

    —

    By

    Maura Spiegelman

    in Data Analysis, Reporting

    As researchers, we want data to be timely, relevant, and actionable without sacrificing quality. That is, we want data to be both fast and good. For parents, teachers, and researchers, understanding how K-12 education changed during the COVID-19 pandemic is…


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