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Assessing Argentina's preparedness for the knowledge economy: measuring student knowledge and skills in reading, mathematical and scientific literacy with evidence from PISA 2000 Husein Abdul-Hamid

Por: Colaborador(es): Tipo de material: TextoTextoIdioma: Inglés Series Quality of education IIDetalles de publicación: México CISS UIA 2007Descripción: 41-66 p. il. 22 cmISSN:
  • 1870-2961
Tema(s): Clasificación CDD:
  • REV WSP No.5
Recursos en línea: En: Conferencia Interamericana de Seguridad Social Well-being and social policyResumen: The results of 2000 study of the Programme for International Student Assessment (PISA) show that while Argentinean students performed similar to their peers in most other Latin American countries, they lagged behind all OECD and most of other participating countries. Attention needs to be given to further master the reading, math and science skills that are needed for a knowledge economy; and overcome the abnormal and high dispersion in performance among students. Comprehensive modeling and analysis of the education production function based on generalized least squares estimation and quantile regressions methods allow us to find that student's performance in Argentina is associated mostly with: school and learning climate; quality of teachers; and whether students are encouraged, guided and oriented to be effective learners. The findings show evidence of significant relationships that need future follow-ups to investigate how each indicator is affecting performance.
Tipo de ítem: Artículo de revista
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Título en español: Evaluación de lo preparada que está Argentina para la economía del conocimiento: medición del conocimiento y las habilidades de los alumnos en matemáticas y ciencias con resultados de PISA 2000.

Bibliografía p. 64-66.

The results of 2000 study of the Programme for International Student Assessment (PISA) show that while Argentinean students performed similar to their peers in most other Latin American countries, they lagged behind all OECD and most of other participating countries. Attention needs to be given to further master the reading, math and science skills that are needed for a knowledge economy; and overcome the abnormal and high dispersion in performance among students. Comprehensive modeling and analysis of the education production function based on generalized least squares estimation and quantile regressions methods allow us to find that student's performance in Argentina is associated mostly with: school and learning climate; quality of teachers; and whether students are encouraged, guided and oriented to be effective learners. The findings show evidence of significant relationships that need future follow-ups to investigate how each indicator is affecting performance.

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