About the presentation
Based on mixed‑methods evidence, this lecture examines how municipal governments in Brazil implement primary education policies and why some municipalities deliver outcomes that exceed expectations. The session introduces a hierarchical linear model used to identify positive and negative municipal outliers in Brazil. Building on this analysis, the presentation shares findings from fieldwork conducted in eight small and medium‑sized municipalities. These cases intend to illuminate the institutional, managerial, and pedagogical practices that distinguish higher‑performing local governments. The results include differences in teacher professional development. Positive outlier municipalities tend to offer substantially more training hours, distribute training more evenly throughout the academic year, dedicate a larger share of sessions to concrete instructional practices, ensure stronger alignment with curriculum and textbooks, and maintain greater continuity across training sessions.
About Danilo
Danilo Leite Dalmon holds a PhD in International Cooperation from Kobe University (2025), an MA in International Comparative Education from Stanford University (2015), and an MSc in Computer Science from the University of São Paulo (2012). His research examines how middle‑tier governments contribute to improving education quality in the Global South. He has worked with the World Bank, UNESCO, and several NGOs on program planning, evaluation, and policy implementation. He is the editor of a 2018 book of case studies on education policy implementation in Brazil.
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