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Determinantes de los resultados de las evaluaciones de profesores: el caso de la Universidad de los Andes

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  • Gaviria Alejandro
  • Alejandro Hoyos

Abstract

Este trabajo estudia los determinantes de las evaluaciones realizadas por los estudiantes a los profesores y programas de la Universidad de los Andes. Se analiza cómo las características del curso, del profesor y el nivel de exigencia afectan el resultado de las evaluaciones. Los resultados muestran que las notas obtenidas por los estudiantes afectan de manera directa y positiva las evaluaciones de profesores. Así mismo, el tamano de la clase afecta negativamente el resultado de las evaluaciones, y finalmente la experiencia de los maestros y su forma de vinculación laboral (planta o cátedra) no tienen un efecto significativo.

Suggested Citation

  • Gaviria Alejandro & Alejandro Hoyos, 2008. "Determinantes de los resultados de las evaluaciones de profesores: el caso de la Universidad de los Andes," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, March.
    • Handle: RePEc:col:000090:005771
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    File URL: http://economia.uniandes.edu.co/revistadys/Articulo61_3.pdf
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    References listed on IDEAS

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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Michael A. McPherson, 2006. "Determinants of How Students Evaluate Teachers," The Journal of Economic Education, Taylor & Francis Journals, vol. 37(1), pages 3-20, January.
    3. Krautmann, Anthony C. & Sander, William, 1999. "Grades and student evaluations of teachers," Economics of Education Review, Elsevier, vol. 18(1), pages 59-63, February.
    4. Ray H. Simpson, 1967. "Evaluation of College Teachers and Teaching," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(1_Part_II), pages 286-298.
    5. Daniel Hamermesh & Amy M. Parker, 2003. "Beauty in the Classroom: Professors' Pulchritude and Putative Pedagogical Productivity," NBER Working Papers 9853, National Bureau of Economic Research, Inc.
    6. Joshua D. Angrist & Victor Lavy, 1997. "Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement," NBER Working Papers 5888, National Bureau of Economic Research, Inc.
    7. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    8. Paul Isely & Harinder Singh, 2005. "Do Higher Grades Lead to Favorable Student Evaluations?," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(1), pages 29-42, January.
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    Cited by:

    1. Nicolás Urdaneta Andrade, 2021. "¿Hombres "cracks" y mujeres "amables"? Sesgos de género en encuestas de profesores," Documentos CEDE 19557, Universidad de los Andes, Facultad de Economía, CEDE.

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    More about this item

    Keywords

    Evaluaciones a profesores; incentivos en la educación; sistemsas de pagos por méritos;
    All these keywords.

    JEL classification:

    • I - Health, Education, and Welfare
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

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