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An Evaluation of Single and Mixed Gender Computer Science Classes

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Author Info
Weber, Andrea Maria

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Abstract

Discussions on the benefits of single-gender education on girls science outcomes are popular in the German education literature. However, most empirical evidence tends to be qualitative work and the causal effects of single-gender education are hardly identified using appropriate statistical methods. This paper provides insights from a recent single-gender-education school project conducted in computer science classes at a German lower secondary school. About 80 students participated in this intervention study repeatedly answering specifically designed questionnaires and tests. The project fails to identify positive effects from single-gender education but the interpretation is impeded by several confounding factors. When directly asked, most students prefer to be educated in mixed-gender groups, while the participating teachers judge their teaching experience with the project groups in favour of single-gender education.

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Publisher Info
Paper provided by Universität Hannover, Wirtschaftswissenschaftliche Fakultät in its series Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover with number dp-369.

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Length: 76 pages
Date of creation: Jul 2007
Date of revision:
Handle: RePEc:han:dpaper:dp-369

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Related research
Keywords: gender; education; identification; coeducation; segregation; experiments;

Find related papers by JEL classification:
I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Heckman, James J & Smith, Jeffrey A, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring. [Downloadable!] (restricted)
  2. Sandra E. Black & Alexandra Spitz-Oener, 2007. "Explaining Women's Success: Technological Change and the Skill Content of Women's Work," NBER Working Papers 13116, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  3. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Blackwell Publishing, vol. 65(2), pages 261-94, April. [Downloadable!] (restricted)
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This page was last updated on 2009-11-25.


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