School absenteeism undermines learning and increases the risk of dropout, especially among low-income students. This study uses clustering techniques to analyze attendance data from the Sistema Gestão Presente (SGP), covering 1.4 million high school records from four Brazilian states. We combined absenteeism profiles with indicators of physical and pedagogical infrastructure, including transportation, internet access, accessibility, and inclusion resources. Applying K-Means separately to urban and rural schools revealed five profiles in each context. Results indicate that stronger infrastructure correlates with lower absenteeism, but highlight persistent weaknesses in pedagogical inclusion, particularly in support for students with disabilities and in the provision of adapted materials.

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Understanding School Factors Related to Student Absenteeism in Brazilian Public High Schools: Insights for Educational Policy Through a Clustering Approach

  • Markson Rebelo Marcolino,
  • Abílio Nogueira Barros,
  • Emanuel Marques Queiroga,
  • Débora Barbosa Leite Silva,
  • Diego Dermeval,
  • André Lima,
  • Leonardo Brandão Marques,
  • Elthon Oliveira,
  • Cristian Cechinel,
  • Thales Vieira

摘要

School absenteeism undermines learning and increases the risk of dropout, especially among low-income students. This study uses clustering techniques to analyze attendance data from the Sistema Gestão Presente (SGP), covering 1.4 million high school records from four Brazilian states. We combined absenteeism profiles with indicators of physical and pedagogical infrastructure, including transportation, internet access, accessibility, and inclusion resources. Applying K-Means separately to urban and rural schools revealed five profiles in each context. Results indicate that stronger infrastructure correlates with lower absenteeism, but highlight persistent weaknesses in pedagogical inclusion, particularly in support for students with disabilities and in the provision of adapted materials.