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How are teachers teaching? A nonparametric approach

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  • Kristof De Witte
  • Chris Van Klaveren
Abstract
This paper examines which configuration of teaching activities maximizes student performance. For this purpose a nonparametric efficiency model is formulated that accounts for (1) self-selection of students and teachers in better schools and (2) complementary teaching activities. The analysis distinguishes both individual teaching (i.e., a personal teaching style adapted to the individual needs of the student) and collective teaching (i.e., a similar style for all students in a class). Moreover, we examine to which group of students the teacher is adapting his/her teaching style. The model is applied on the Trends in International Mathematics and Science Study 2003 data. The main results show that high test scores are associated with teaching styles that emphasize problem solving and homework. In addition, teachers seem to adapt their optimal teaching style to the 70% least performing students.

Suggested Citation

  • Kristof De Witte & Chris Van Klaveren, 2014. "How are teachers teaching? A nonparametric approach," Education Economics, Taylor & Francis Journals, vol. 22(1), pages 3-23, February.
    • Handle: RePEc:taf:edecon:v:22:y:2014:i:1:p:3-23
    DOI: 10.1080/09645292.2011.560448
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    References listed on IDEAS

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    1. Van Klaveren, Chris, 2011. "Lecturing style teaching and student performance," Economics of Education Review, Elsevier, vol. 30(4), pages 729-739, August.
    2. 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.
    3. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    4. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 1, number 1, June.
    5. Aslam, Monazza & Kingdon, Geeta, 2011. "What can teachers do to raise pupil achievement?," Economics of Education Review, Elsevier, vol. 30(3), pages 559-574, June.
    6. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    7. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Economics of Education Review, Elsevier, vol. 30(2), pages 365-379, April.
    8. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany.
    9. Erik Hanushek & F. Welch (ed.), 2006. "Handbook of the Economics of Education," Handbook of the Economics of Education, Elsevier, edition 1, volume 2, number 2, June.
    10. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    11. Aslam, Monazza & Kingdon, Geeta, 2011. "What can teachers do to raise pupil achievement?," Economics of Education Review, Elsevier, vol. 30(3), pages 559-574, June.
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    Cited by:

    1. Hidalgo-Cabrillana, Ana & Lopez-Mayan, Cristina, 2018. "Teaching styles and achievement: Student and teacher perspectives," Economics of Education Review, Elsevier, vol. 67(C), pages 184-206.
    2. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2016. "Nonparametric Estimation of Efficiency in the Presence of Environmental Variables," LIDAM Discussion Papers ISBA 2016027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    4. Cordero, Jose M. & Gil-Izquierdo, María, 2018. "The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1313-1331.
    5. José Antonio Molina Marfil & Oscar David Marcenaro Gutierrez & Ana Martín Marcos, 2016. "Procesos de enseñanza-aprendizaje y producción educativa: un análisis de la competencia matemática," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 32, pages 585-604, Asociación de Economía de la Educación.
    6. Chiara Masci & Francesca Ieva & Tommaso Agasisti & Anna Maria Paganoni, 2021. "Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients," Computational Statistics, Springer, vol. 36(4), pages 2337-2377, December.
    7. Carlos Cortinhas, 2017. "Does formative feedback help or hinder students? An empirical investigation," Discussion Papers 1701, University of Exeter, Department of Economics.
    8. Daniel Santín & Gabriela Sicilia, 2018. "Using DEA for measuring teachers’ performance and the impact on students’ outcomes: evidence for Spain," Journal of Productivity Analysis, Springer, vol. 49(1), pages 1-15, February.
    9. Vittadini, Giorgio & Sturaro, Caterina & Folloni, Giuseppe, 2022. "Non-Cognitive Skills and Cognitive Skills to measure school efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Escardíbul, Josep Oriol & Calero, Jorge, 2013. "Two Quality Factors In The Education System: Teaching Staff And School Autonomy. The Current State Of Research," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(3), pages 5-18.
    11. Renato A. Villano & Carolyn‐Dung T. T. Tran, 2021. "Survey on technical efficiency in higher education: A meta‐fractional regression analysis," Pacific Economic Review, Wiley Blackwell, vol. 26(1), pages 110-135, February.
    12. Francesco Vidoli & Elisa Fusco & Claudio Mazziotta, 2015. "Non-compensability in Composite Indicators: A Robust Directional Frontier Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 635-652, July.

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